Mark S. Johnson

13.2k citations
211 papers · 10.2k indexed · 1 hit paper · h-index 51

Mark S. Johnson

208 papers receiving 9.9k citations

Hit Papers

Origins and Evolutionary Relationships of Retroviruses4971989202620012013100200300400

Peers

Mark S. Johnson
Comparison fields: 5 of 167
  • Immunology and Allergy 844
  • Molecular Biology 6.9k
  • Virology 447
  • Cell Biology 1.3k
  • Cellular and Molecular Neuroscience 805
Replace Giulio Superti‐Furga with:
Giulio Superti‐Furga Austria
Frank Delaglio United States
Guang Zhu Hong Kong
Geerten W. Vuister Netherlands
Nicolas Guex Switzerland
Jiansheng Jiang United States
Wolfram Bode Germany
Joël Vandekerckhove Belgium
P. Kraulis Sweden
Arthur M. Lesk United Kingdom
Mark S. Johnson relative to Giulio Superti‐Furga Austria Giulio Superti‐Furga's profile →
Citations per field
00.5×1.7×
Giulio Superti‐Furga · 1×
Citations per year

Countries citing papers authored by Mark S. Johnson

Since Specialization
Citations

This map shows the geographic impact of Mark S. Johnson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark S. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Johnson more than expected).

Fields of papers citing papers by Mark S. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Johnson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark S. Johnson. The network helps show where Mark S. Johnson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mark S. Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark S. Johnson Line = papers co-authored together Mark S. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20233
5 20225
6 20222
7 20224
8 202112
9 20205
10 202013
11 202021
12 202026
13 201627
14 200722
15 200521
16 200432
17 200459
18 200240
19 199922
20 199841

About Mark S. Johnson

Mark S. Johnson is a scholar working on Immunology and Allergy, Cell Biology and Molecular Biology, having authored 211 papers that have together received 10.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (41 papers), Enzyme Structure and Function (40 papers), RNA and protein synthesis mechanisms (26 papers), Cell Adhesion Molecules Research (26 papers), Photoreceptor and optogenetics research (20 papers), Receptor Mechanisms and Signaling (19 papers), Biotin and Related Studies (16 papers) and Computational Drug Discovery Methods (16 papers). The work is most often cited by research in Immunology and Allergy (844 citations), Molecular Biology (6.9k citations) and Virology (447 citations). Mark S. Johnson has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Barry Taylor, Marcella A. McClure, R.F. Doolittle, Tom L. Blundell, Mikko J. Vainio, John P. Overington, Da-Fei Feng, Konstantin Denessiouk, Russell F. Doolittle and Igor B. Zhulin. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, PLoS ONE, Journal of Molecular Biology and Molecular Microbiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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