Michael E. Johnson

10.0k citations
260 papers · 7.7k · h-index 47

Impact in

Papers in

Michael E. Johnson

252 papers receiving 7.2k citations

Peers

Michael E. Johnson
Comparison fields: 5 of 200
  • Infectious Diseases 1.3k
  • Computational Theory and Mathematics 936
  • Molecular Biology 2.9k
  • Biophysics 227
  • General Agricultural and Biological Sciences 304
Replace Yanping Zhang with:
Yanping Zhang China
Russell J. Mumper United States
Yan Zhang China
Lijun Zhang China
David Bell United Kingdom
Rui Wang China
Siqian He United States
Weimin Li China
William Robert Wilson New Zealand
Ji‐Hyun Lee South Korea
Michael E. Johnson relative to Yanping Zhang China Yanping Zhang's profile →
Citations per field
00.5×2×4×5.3×
Yanping Zhang · 1×
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 260 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008410
2 2013229
3 2009216
4 1999199
5 2004145
6 1993137
7 2010131
8 2007120
9 2002120
10 1996119
11 2012117
12 2009114
13 2008113
14 2005112
15 2016111
16 2015109
17 2015105
18 1992101
19 2002100
20 2008100

About Michael E. Johnson

Michael E. Johnson is a scholar working on Molecular Biology, Cell Biology, Infectious Diseases, Biophysics and Organic Chemistry, having authored 260 papers that have together received 7.7k indexed citations. Recurring topics across this work include Hemoglobin structure and function (26 papers), Protein Structure and Dynamics (26 papers), Computational Drug Discovery Methods (20 papers), Enzyme Structure and Function (17 papers), Erythrocyte Function and Pathophysiology (16 papers), Electron Spin Resonance Studies (15 papers), Biochemical and Molecular Research (13 papers) and Hemoglobinopathies and Related Disorders (11 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Computational Theory and Mathematics (936 citations), Molecular Biology (2.9k citations), Biophysics (227 citations) and General Agricultural and Biological Sciences (304 citations). Michael E. Johnson has collaborated with scholars based in United States, Czechia and China. Frequent co-authors include Arun Kumar Ghosh, Andrew D. Mesecar, Susan C. Baker, Hyun Lee, Kirk E. Hevener, Kiira M Ratia, Roger Dale Kamm, Thomas D. Edlind, Shahila Mehboob 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.

Explore authors with similar magnitude of impact