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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 37 8967 8603 66 65 169 4510

Myong-In Lee publications per year

The chart shows the history of publications by Myong-In Lee between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Myong-In Lee published across 26 years, from 2000 to 2025, averaging 7.7 papers a year. Output peaked at 22 publications in 2015. 22 of the 201 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2015. 2000: 1 publication 2001: 3 publications 2002: 1 publication 2003: 3 publications 2004: 0 publications 2005: 0 publications 2006: 3 publications 2007: 6 publications 2008: 9 publications 2009: 3 publications 2010: 3 publications 2011: 3 publications 2012: 9 publications 2013: 15 publications 2014: 17 publications 2015: 22 publications 2016: 18 publications 2017: 9 publications 2018: 8 publications 2019: 10 publications 2020: 10 publications 2021: 9 publications 2022: 5 publications 2023: 12 publications 2024: 14 publications 2025: 8 publications
2000 2025

201 publications in total across all disciplines

View publications per year as a table
Myong-In Lee: publications per year, 2000 to 2025
Year Publications
2000 1
2001 3
2002 1
2003 3
2004 0
2005 0
2006 3
2007 6
2008 9
2009 3
2010 3
2011 3
2012 9
2013 15
2014 17
2015 22
2016 18
2017 9
2018 8
2019 10
2020 10
2021 9
2022 5
2023 12
2024 14
2025 8
Total 201
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Myong-In Lee publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Myong-In Lee sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 161–170 publications, is where this scientist sits. 41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 282 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–689 publications: 4 scientists 690+ publications: 100 scientists
41–50 publications 690+

This scientist: 169 publications — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444 169
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
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Myong-In Lee D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Myong-In Lee sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 37 D-Index, is where this scientist sits. 30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 198 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 20 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125 D-Index: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 37 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267 37
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
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Overview

Myong-In Lee is affiliated with the Ulsan National Institute of Science and Technology in South Korea. Their research is primarily focused on Earth and Planetary Sciences as well as Environmental Science. Within these main fields, they have concentrated extensively on subfields such as Atmospheric Science, Global and Planetary Change, Environmental Engineering, Oceanography, and Health, Toxicology and Mutagenesis.

Their work addresses several key topics including Climate variability and models, Meteorological Phenomena and Simulations, Atmospheric chemistry and aerosols, Atmospheric aerosols and clouds, Atmospheric and Environmental Gas Dynamics, Arctic and Antarctic ice dynamics, and Oceanographic and Atmospheric Processes.

Myong-In Lee has published multiple papers in high-profile venues. Frequent publication venues for their work include:

  • Environmental Research Letters
  • Journal of Geophysical Research Atmospheres
  • Atmospheric Environment
  • Geophysical Research Letters
  • Journal of Climate

Among their recent published papers are:

  • Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter, 2020, Remote Sensing of Environment
  • Korea Institute of Ocean Science and Technology Earth System Model and Its Simulation Characteristics, 2021, Ocean Science Journal
  • Investigation of the 2016 Eurasia heat wave as an event of the recent warming, 2020, Environmental Research Letters
  • Recent changes in heatwave characteristics over Korea, 2020, Climate Dynamics
  • Impacts of urbanization on atmospheric circulation and aerosol transport in a coastal environment simulated by the WRF-Chem coupled with urban canopy model, 2021, Atmospheric Environment

Collaboration has played a significant role in their research, with frequent co-authors including:

  • Chang-Keun Song
  • Dong-Hyun Cha
  • Seunghee Lee
  • Sunlae Tak
  • Eunkyo Seo

Best Publications

  • Midweek increase in U.S. summer rain and storm heights suggests air pollution invigorates rainstorms

    Thomas L. Bell;Daniel Rosenfeld;Kyu-Myong Kim;Jung-Moon Yoo

  • AGCM simulations of intraseasonal variability associated with the Asian summer monsoon

    D. E. Waliser;K. Jin;I.-S. Kang;W. F. Stern

  • THE NAME 2004 FIELD CAMPAIGN AND MODELING STRATEGY

    Wayne Higgins;Dave Ahijevych;Jorge Amador;Ana Barros

  • Subseasonal variability associated with Asian summer monsoon simulated by 14 IPCC AR4 coupled GCMs

    Jia Lin Lin;Klaus M. Weickman;George N. Kiladis;Brian E Mapes

  • Why does the MJO detour the Maritime Continent during austral summer

    Daehyun Kim;Hyerim Kim;Myong-In Lee

  • Influence of cloud‐radiation interaction on simulating tropical intraseasonal oscillation with an atmospheric general circulation model

    Myong In Lee;In Sik Kang;Jong Khun Kim;Brian E. Mapes

  • The Impacts of Convective Parameterization and Moisture Triggering on AGCM-Simulated Convectively Coupled Equatorial Waves

    Jia-Lin Lin;Myong-In Lee;Daehyun Kim;In-Sik Kang

  • Interannual variability of heat waves in South Korea and their connection with large‐scale atmospheric circulation patterns

    Woo-Seop Lee;Myong-In Lee

  • Impacts of cumulus convection parameterization on aqua-planet AGCM simulations of tropical intraseasonal variability

    Myong In Lee;In Sik Kang;Brian E. Mapes

  • An Analysis of the Warm-Season Diurnal Cycle over the Continental United States and Northern Mexico in General Circulation Models

    Myong In Lee;Siegfried D. Schubert;Max J. Suarez;Isaac M. Held

  • Sensitivity to Horizontal Resolution in the AGCM Simulations of Warm Season Diurnal Cycle of Precipitation over the United States and Northern Mexico

    Myong-In Lee;Myong-In Lee;Siegfried D. Schubert;Max J. Suarez;Isaac M. Held

  • Changes in weather and climate extremes over Korea and possible causes: A review

    Seung Ki Min;Seok Woo Son;Kyong Hwan Seo;Jong Seong Kug

  • Assessing the Skill of an All-Season Statistical Forecast Model for the Madden–Julian Oscillation

    Xianan Jiang;Duane E. Waliser;Matthew C. Wheeler;Charles Jones

  • The Aqua-Planet Experiment (APE): CONTROL SST Simulation

    Michael Blackburn;David L. Williamson;Kensuke Nakajima;Wataru Ohfuchi

  • Role of convection triggers in the simulation of the diurnal cycle of precipitation over the United States Great Plains in a general circulation model

    Myong-In Lee;Myong-In Lee;Siegfried D. Schubert;Max J. Suarez;Jae-Kyung E. Schemm

  • Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter

    Eunkyo Seo;Myong-In Lee;Rolf H. Reichle

  • Impact of soil moisture initialization on boreal summer subseasonal forecasts: mid-latitude surface air temperature and heat wave events

    Eunkyo Seo;Myong-In Lee;Jee-Hoon Jeong;Randal D. Koster

  • Spatiotemporal variations of air pollutants (O 3 , NO 2 , SO 2 , CO, PM 10 , and VOCs) with land-use types

    J. M. Yoo;M. J. Jeong;D. Kim;W. R. Stockwell

  • Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data

    Minsang Kim;Myung-Sook Park;Jungho Im;Seonyoung Park

  • Prediction of the Arctic Oscillation in boreal winter by dynamical seasonal forecasting systems

    Daehyun Kang;Myong-In Lee;Jungho Im;Daehyun Kim

  • Interannual Variability of Heat Wave in South Korea and theirs Connection with Large-Scale Atmospheric Circulation Pattern

    Woo-Seop Lee;Myong-In Lee

Frequent Co-Authors

Siegfried D. Schubert
Siegfried D. Schubert Goddard Space Flight Center
Jungho Im
Jungho Im Ulsan National Institute of Science and Technology
In-Sik Kang
In-Sik Kang Second Institute of Oceanography
Kyu-Myong Kim
Kyu-Myong Kim Goddard Space Flight Center
Daehyun Kim
Daehyun Kim University of Washington
Max J. Suarez
Max J. Suarez Universities Space Research Association
Isaac M. Held
Isaac M. Held Princeton University
Andrea Molod
Andrea Molod Goddard Space Flight Center
Brian E. Mapes
Brian E. Mapes University of Miami
Hisashi Nakamura
Hisashi Nakamura University of Tokyo

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