World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
65
Citations
18845
World Ranking
9026
National Ranking
4012

Joshua N. Adkins publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Joshua N. Adkins sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 223 publications — 58th percentile

58% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Joshua N. Adkins D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Joshua N. Adkins sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 65 D-Index — 55th percentile

55% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Overview

Joshua N. Adkins is a researcher affiliated with the Pacific Northwest National Laboratory in the United States. Their work spans several main fields including Physics and Astronomy as well as Earth and Planetary Sciences. Within these broad areas, their subfields of study include Oceanography, Astronomy and Astrophysics, Nuclear and High Energy Physics, Molecular Biology, and Physiology.

The topics most frequently explored by Joshua N. Adkins cover a diverse range of scientific areas such as Geophysics and Gravity Measurements, Ionosphere and Magnetosphere Dynamics, Astrophysics and Cosmic Phenomena, Adipose Tissue and Metabolism, Single-cell and Spatial Transcriptomics, Neonatal Respiratory Health Research, and Muscle Metabolism and Nutrition.

Joshua N. Adkins has contributed to multiple research publications, with notable recent papers including:

  • "Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise" (2020) published in Cell
  • "Phage-specific metabolic reprogramming of virocells" (2020) published in The ISME Journal
  • "Temporal dynamics of the multi-omic response to endurance exercise training" (2024) published in Nature
  • "High-throughput and high-efficiency sample preparation for single-cell proteomics using a nested nanowell chip" (2021) published in Nature Communications
  • "A census of the lung: CellCards from LungMAP" (2021) published in Developmental Cell

Collaborations form a significant part of their research output, with frequent co-authors including Scott Baker, Terry Law, Sarah Leichty, and Haylie Kimball. These collaborations underscore a broad network of scientific cooperation within and across disciplines.

Joshua N. Adkins's scholarly work appears extensively in multiple publication venues. Key venues where they have published include:

  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Communications
  • The ISME Journal
  • American Journal of Respiratory Cell and Molecular Biology

Best Publications

  • Toward a Human Blood Serum Proteome Analysis By Multidimensional Separation Coupled With Mass Spectrometry

    Joshua N. Adkins;Susan M. Varnum;Kenneth J. Auberry;Ronald J. Moore

  • The Human Plasma Proteome A Nonredundant List Developed by Combination of Four Separate Sources

    N. Leigh Anderson;Malu Polanski;Rembert Pieper;Tina Gatlin

  • Overview of the HUPO Plasma Proteome Project: results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly-available database.

    Gilbert S. Omenn;David J. States;Marcin Adamski;Thomas W. Blackwell

  • Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models

    Nathan E Lewis;Kim K Hixson;Tom M Conrad;Joshua A Lerman

  • Activated ClpP kills persisters and eradicates a chronic biofilm infection

    Brian P. Conlon;Ernesto S. Nakayasu;Ernesto S. Nakayasu;Laura E. Fleck;Michael D. LaFleur

  • Persister formation in Staphylococcus aureus is associated with ATP depletion.

    Brian P. Conlon;Sarah E. Rowe;Autumn Brown Gandt;Austin S. Nuxoll

  • Normalization Approaches for Removing Systematic Biases Associated with Mass Spectrometry and Label-Free Proteomics

    Stephen J. Callister;Richard C. Barry;Joshua N. Adkins;Ethan T. Johnson

  • DAnTE: a statistical tool for quantitative analysis of -omics data

    Ashoka D. Polpitiya;Wei-Jun Qian;Navdeep Jaitly;Vladislav A. Petyuk

  • An evaluation, comparison, and accurate benchmarking of several publicly available MS/MS search algorithms: sensitivity and specificity analysis.

    Eugene A. Kapp;Frédéric Schütz;Lisa M. Connolly;John A. Chakel

  • Utilizing Human Blood Plasma for Proteomic Biomarker Discovery

    Jon M. Jacobs;Joshua N. Adkins;Wei Jun Qian;Tao Liu

  • Distance restraints from crosslinking mass spectrometry: Mining a molecular dynamics simulation database to evaluate lysine–lysine distances

    Eric D. Merkley;Steven Rysavy;Abdullah Kahraman;Ryan P. Hafen

  • In silico method for modelling metabolism and gene product expression at genome scale

    Joshua A. Lerman;Daniel R. Hyduke;Haythem Latif;Vasiliy A. Portnoy

  • Decon2LS: An open-source software package for automated processing and visualization of high resolution mass spectrometry data

    Navdeep Jaitly;Anoop M. Mayampurath;Kyle A. Littlefield;Joshua N. Adkins

  • Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise.

    James A. Sanford;Christopher D. Nogiec;Malene E. Lindholm;Joshua N. Adkins

  • Whole proteome analysis of post-translational modifications: Applications of mass-spectrometry for proteogenomic annotation

    Nitin Gupta;Stephen Tanner;Navdeep Jaitly;Joshua N. Adkins

  • VIPER: an advanced software package to support high-throughput LC-MS peptide identification

    Matthew E. Monroe;Nikola Tolić;Navdeep Jaitly;Jason L. Shaw

  • Brief Communication: MASIC: A software program for fast quantitation and flexible visualization of chromatographic profiles from detected LC-MS(/MS) features

    Matthew E. Monroe;Jason L. Shaw;Don S. Daly;Joshua N. Adkins

  • Improved peptide elution time prediction for reversed-phase liquid chromatography-MS by incorporating peptide sequence information

    Konstantinos Petritis;Lars J. Kangas;Bo Yan;Matthew E. Monroe

  • Proteomic analysis of Salmonella enterica serovar typhimurium isolated from RAW 264.7 macrophages: identification of a novel protein that contributes to the replication of serovar typhimurium inside macrophages.

    Liang Shi;Joshua N. Adkins;James R. Coleman;Athena A. Schepmoes

  • A statistical framework for protein quantitation in bottom-up MS-based proteomics

    Yuliya Karpievitch;Jeff Stanley;Thomas Taverner;Jianhua Huang

Frequent Co-Authors

Richard D. Smith
Richard D. Smith Pacific Northwest National Laboratory
Matthew E. Monroe
Matthew E. Monroe Pacific Northwest National Laboratory
Fred Heffron
Fred Heffron Oregon Health & Science University
Samuel O. Purvine
Samuel O. Purvine Environmental Molecular Sciences Laboratory
Ernesto S. Nakayasu
Ernesto S. Nakayasu Pacific Northwest National Laboratory
Ronald J. Moore
Ronald J. Moore Pacific Northwest National Laboratory
David G. Camp
David G. Camp Pacific Northwest National Laboratory
Thomas O. Metz
Thomas O. Metz Pacific Northwest National Laboratory
Navdeep Jaitly
Navdeep Jaitly Google (United States)
Wei-Jun Qian
Wei-Jun Qian Pacific Northwest National Laboratory

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