World's Best Scientists 2026 revealed!
Shinya Sugita

Shinya Sugita

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Environmental Sciences
Estonia
2026

D-Index & Metrics

Environmental Sciences

D-Index
56
Citations
13849
World Ranking
3597
National Ranking
3

Shinya Sugita 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 Shinya Sugita sits on this spectrum.

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: 283 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: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 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 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 309 publications — 87th percentile

87% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Shinya Sugita 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 Shinya Sugita sits on this spectrum.

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: 199 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: 19 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: 99 scientists
30 D-Index 125+

This scientist: 56 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Environmental Sciences in Estonia Leader Award
  • 2025 - Research.com Environmental Sciences in Estonia Leader Award

Overview

Shinya Sugita is affiliated with Tallinn University in Estonia. Their research spans multiple disciplines, primarily focusing on physics and astronomy as well as earth and planetary sciences.

Their work covers several subfields, including nuclear and high energy physics, atmospheric science, pulmonary and respiratory medicine, astronomy and astrophysics, and earth-surface processes. This diverse background supports a broad spectrum of scientific inquiry.

The main topics of Sugita's research include:

  • Geology and paleoclimatology research
  • Dark matter and cosmic phenomena
  • Radiation therapy and dosimetry
  • Particle detector development and performance
  • Astrophysics and cosmic phenomena
  • Tree-ring climate responses
  • Neutrino physics research

Shinya Sugita has contributed to numerous peer-reviewed publications. Their recent papers include:

  • Towards quantification of Holocene anthropogenic land-cover change in temperate China: A review in the light of pollen-based REVEALS reconstructions of regional plant cover (2020, Earth-Science Reviews)
  • European pollen-based REVEALS land-cover reconstructions for the Holocene: methodology, mapping and potentials (2022, Earth system science data)
  • Observation of Spectral Structures in the Flux of Cosmic-Ray Protons from 50 GeV to 60 TeV with the Calorimetric Electron Telescope on the International Space Station (2022, Physical Review Letters)
  • Mid-Holocene European climate revisited: New high-resolution regional climate model simulations using pollen-based land-cover (2022, Quaternary Science Reviews)
  • Direct Measurement of the Cosmic-Ray Carbon and Oxygen Spectra from 10 GeV/n to 2.2 TeV/n with the Calorimetric Electron Telescope on the International Space Station (2020, Physical Review Letters)

Their publications have appeared most frequently in the following venues:

  • Physical Review Letters
  • Quaternary Science Reviews
  • Earth system science data
  • The Astrophysical Journal
  • Advances in Space Research

Sugita collaborates regularly with a set of frequent coauthors, including:

  • Yosui Akaike
  • Y. Asaoka
  • E. Berti
  • G. Bigongiari
  • M. Bongi

Best Publications

  • Pollen Representation of Vegetation in Quaternary Sediments: Theory and Method in Patchy Vegetation

    Unknown

  • Theory of quantitative reconstruction of vegetation I: pollen from large sites REVEALS regional vegetation composition

    Unknown

  • Pollen-based continental climate reconstructions at 6 and 21 ka: A global synthesis

    Patrick J Bartlein;S P Harrison;S P Harrison;S Brewer;Simon Connor

  • Landscape Openness and Pollen Records: A Simulation Approach

    Shinya Sugita;Marie-Jose Gaillard;Anna Broström

  • A Model of Pollen Source Area for an Entire Lake Surface

    Unknown

  • Theory of quantitative reconstruction of vegetation II: all you need is LOVE

    Unknown

  • Palaeovegetation of China: a pollen data‐based synthesis for the mid‐Holocene and last glacial maximum

    G. Yu;G. Yu;G. Yu;X. Chen;X. Chen;J. Ni;J. Ni;R. Cheddadi

  • Plant Migration and Climate Change

    L. F. Pitelka;R. H. Gardner;J. Ash;S. Berry

  • Pollen productivity estimates of key European plant taxa for quantitative reconstruction of past vegetation: a review

    Anna Broström;Anne Birgitte Nielsen;Marie-José Gaillard;Kari Hjelle

  • Holocene land-cover reconstructions for studies on land cover-climate feedbacks

    M. J Gaillard;S. Sugita;F. Mazier;F. Mazier;A. K Trondman

  • Vegetation structure and pollen source area

    M J Bunting;M J Gaillard;S Sugita;R Middleton

  • Pollen productivity estimates for the reconstruction of past vegetation cover in the cultural landscape of southern Sweden

    Anna Broström;Shinya Sugita;Marie-José Gaillard

  • Using a generalized vegetation model to simulate vegetation dynamics in northeastern USA

    Thomas Hickler;Benjamin Smith;Martin T. Sykes;Margaret B. Davis

  • The REVEALS model, a new tool to estimate past regional plant abundance from pollen data in large lakes: validation in southern Sweden

    Sofie Hellman;Marie-Jose Gaillard;Anna Broström;Shinya Sugita

  • Europe's lost forests : a pollen-based synthesis for the last 11,000 years

    Neil Roberts;Ralph M. Fyfe;Jessie Woodbridge;Marie-José Gaillard

  • Pollen-based quantitative reconstructions of Holocene regional vegetation cover (plant-functional types and land-cover types) in Europe suitable for climate modelling.

    Anna-Kari Trondman;M.J. Gaillard;Florence Mazier;S. Sugita

  • A framework for sustainable invasive species management: Environmental, social, and economic objectives

    Diane L. Larson;Laura Phillips-Mao;Gina Quiram;Leah Sharpe

  • Testing the effect of site selection and parameter setting on REVEALS-model estimates of plant abundance using the Czech Quaternary Palynological Database

    F. Mazier;F. Mazier;F. Mazier;Marie-José Gaillard;P. Kunes;P. Kunes;S. Sugita

  • PATCHY INVASION AND THE ORIGIN OF A HEMLOCK–HARDWOODS FOREST MOSAIC

    Margaret B. Davis;Randy R. Calcote;Shinya Sugita;Hikaru Takahara

  • Testing the Landscape Reconstruction Algorithm for spatially explicit reconstruction of vegetation in northern Michigan and Wisconsin

    Shinya Sugita;Tim Parshall;Randy Calcote;Karen Walker

  • The use of modelling and simulation approach in reconstructing past landscapes from fossil pollen data: a review and results from the POLLANDCAL network.

    Marie-José Gaillard;Shinya Sugita;M. Jane Bunting;Richard Middleton

  • Estimating the spatial scale of pollen dispersal in the cultural landscape of southern Sweden

    Anna Broström;Shinya Sugita;Marie-José Gaillard;Petter Pilesjö

  • Holocene changes in vegetation composition in northern Europe: why quantitative pollen-based vegetation reconstructions matter

    Laurent Marquer;Laurent Marquer;Marie José Gaillard;Shinya Sugita;Anna Kari Trondman

  • The Holocene vegetation cover of Britain and Ireland : overcoming problems of scale and discerning patterns of openness

    Ralph M. Fyfe;Claire L. Twiddle;Shinya Sugita;Marie-José Gaillard

Frequent Co-Authors

Marie-José Gaillard
Marie-José Gaillard Linnaeus University
Florence Mazier
Florence Mazier Federal University of Toulouse Midi-Pyrénées
Ralph Fyfe
Ralph Fyfe Plymouth University
Anneli Poska
Anneli Poska Tallinn University of Technology
Heikki Seppä
Heikki Seppä University of Helsinki
Jed O. Kaplan
Jed O. Kaplan University of Calgary
Anne E. Bjune
Anne E. Bjune Bjerknes Centre for Climate Research
Margaret B. Davis
Margaret B. Davis University of Minnesota
Qinghai Xu
Qinghai Xu Hebei Normal University
Erik Kjellström
Erik Kjellström Swedish Meteorological and Hydrological Institute

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