Michael W. Johnson

2.7k citations
71 papers · 2.0k · h-index 28

Impact in

  • Physiology top 5%
    • Tuberous Sclerosis Complex Research
    • Histiocytic Disorders and Treatments
  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Diabetes and associated disorders

Papers in

Michael W. Johnson

69 papers receiving 1.9k citations

Peers

Michael W. Johnson
Comparison fields: 5 of 153
  • Physiology 459
  • Genetics 134
  • Immunology 245
  • Neurology 164
  • Oncology 284
Replace Takaaki Tsuchida with:
Takaaki Tsuchida Japan
Alexander C. Wright United States
David P. Basile United States
Kazuhiro Ueda Japan
Giovanna Russo Italy
Yoshinori Okada Japan
James A. Radosevich United States
Oliver Baum Germany
Mitsuaki Tatsumi Japan
Rosanna Asselta Italy
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Citations per field
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Takaaki Tsuchida · 1×
Citations per year

Countries citing papers authored by Michael W. Johnson

Since Specialization
Citations

This map shows the geographic impact of Michael W. 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 W. 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 W. Johnson more than expected).

Fields of papers citing papers by Michael W. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000265
2 1971108
3 198584
4 201081
5 197780
6 201679
7 201669
8 199962
9 201856
10 199755
11 200954
12
Acute knee effusions: a systematic approach to diagnosis.
200053
13 198149
14 200148
15 199948
16 201045
17 200244
18 200143
19 198543
20 202041

About Michael W. Johnson

Michael W. Johnson is a scholar working on Physiology, Materials Chemistry, Neurology, Epidemiology and Surgery, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (8 papers), Neurofibromatosis and Schwannoma Cases (5 papers), Glioma Diagnosis and Treatment (5 papers), Fish Ecology and Management Studies (4 papers), Nuclear Physics and Applications (4 papers), Parasite Biology and Host Interactions (3 papers), Luminescence Properties of Advanced Materials (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Physiology (459 citations), Genetics (134 citations), Immunology (245 citations), Neurology (164 citations) and Oncology (284 citations). Michael W. Johnson has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Harry V. Vinters, Munawar Iqbal, William E. Mitch, Mark R. Daymond, Christian Roy, Alan Hall, Richard F. Lamb, Daniel G. Jay, Howard I. Maibach and Sydney E. Salmon. Their work appears in journals such as Diagnostic Cytopathology, Journal of Applied Crystallography, International Journal of Cancer, World Neurosurgery and The American Journal of Surgical Pathology.

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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