Mark S. Johnson

215 papers receiving 10.5k citations

Mark S. Johnson's Hit Papers

Origins and Evolutionary Relationships of Retroviruses 1989 · 532 citations
5320+12+24Years since publication100200300400500

Peers

Mark S. Johnson
Comparison fields: 5 of 170
  • Immunology and Allergy 840
  • Virology 463
  • Molecular Biology 7.1k
  • Cell Biology 1.3k
  • Genetics 1.2k
Replace Giulio Superti‐Furga with:
Giulio Superti‐Furga Austria
Frank Delaglio United States
Guang Zhu Hong Kong
Geerten W. Vuister Netherlands
Jiansheng Jiang United States
Nicolas Guex Switzerland
T. Alwyn Jones Sweden
Joël Vandekerckhove Belgium
Geoffrey J. Barton United Kingdom
Eric Martz United States
Mark S. Johnson relative to Giulio Superti‐Furga Austria Giulio Superti‐Furga's profile →
Citations per field
00.5×1.5×
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-authors

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

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Origins and Evolutionary Relationships of Retroviruses
Hit paper breakdown →
1989532
2 1986449
3 1986382
4 1997381
5 1985359
6 1998354
7 2007346
8 1992265
9 1999234
10 1997229
11 2001217
12 2004201
13 1994195
14 1990189
15 2009171
16 1988158
17 1993150
18 2003146
19 2003142
20 2005136

About Mark S. Johnson

Mark S. Johnson is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Cellular and Molecular Neuroscience and Immunology and Allergy, having authored 218 papers that have together received 10.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (44 papers), Enzyme Structure and Function (42 papers), Cell Adhesion Molecules Research (27 papers), RNA and protein synthesis mechanisms (27 papers), Photoreceptor and optogenetics research (20 papers), Receptor Mechanisms and Signaling (18 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 (840 citations), Virology (463 citations), Molecular Biology (7.1k citations), Cell Biology (1.3k citations) and Genetics (1.2k 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, Da-Fei Feng, John P. Overington, Mikko J. Vainio, 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 Proteins Structure Function and Bioinformatics.

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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