Michael E. Johnson

9.9k citations
259 papers · 7.3k · h-index 47

Impact in

Papers in

Michael E. Johnson

252 papers receiving 7.0k citations

Peers

Michael E. Johnson
Comparison fields: 5 of 195
  • Infectious Diseases 1.2k
  • Computational Theory and Mathematics 877
  • General Agricultural and Biological Sciences 371
  • Molecular Biology 2.7k
  • Molecular Medicine 151
Replace Yanping Zhang with:
Yanping Zhang China
Joseph A. DiMasi United States
Paul Carter United States
Rui Wang China
Mark S. Boguski United States
David Bell United Kingdom
Stephen H. Bryant United States
Stanley N. Cohen United States
Asher Mullard Canada
Michael B. Wallace United States
Michael E. Johnson relative to Yanping Zhang China Yanping Zhang's profile →
Citations per field
00.5×7.1×
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Citations per year

Countries citing papers authored by Michael E. Johnson

Since Specialization
Citations

This map shows the geographic impact of Michael E. 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 Michael E. Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael E. Johnson more than expected).

Fields of papers citing papers by Michael E. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael E. 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 Michael E. Johnson. The network helps show where Michael E. Johnson may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael E. 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 Michael E. Johnson Line = papers co-authored together Michael E. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 259 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008371
2 2009205
3 2013200
4 1999189
5 2004140
6 1993128
7 2010125
8 2002114
9 1996112
10 2007111
11 2012110
12 2009109
13 2016108
14 2005108
15 2008106
16 2015104
17 2015100
18 199299
19 200297
20 200891

About Michael E. Johnson

Michael E. Johnson is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Infectious Diseases and Materials Chemistry, having authored 259 papers that have together received 7.3k indexed citations. Recurring topics across this work include Hemoglobin structure and function (26 papers), Protein Structure and Dynamics (25 papers), Computational Drug Discovery Methods (19 papers), Erythrocyte Function and Pathophysiology (16 papers), Enzyme Structure and Function (16 papers), Electron Spin Resonance Studies (14 papers), Agricultural Innovations and Practices (13 papers) and Biochemical and Molecular Research (13 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Computational Theory and Mathematics (877 citations), General Agricultural and Biological Sciences (371 citations), Molecular Biology (2.7k citations) and Molecular Medicine (151 citations). Michael E. Johnson has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Arun K. Ghosh, Andrew D. Mesecar, Susan C. Baker, Hyun Lee, Kirk E. Hevener, Kiira Ratia, Roger D. Kamm, Shahila Mehboob, Thomas D. Edlind and K.V. Rajagopalan. Their work appears in journals such as Biochemistry, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Anesthesiology and Bioorganic & Medicinal Chemistry.

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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