Michael P. Sheets

2.5k citations
22 papers · 967 indexed · h-index 13

Michael P. Sheets

22 papers receiving 943 citations

Peers

Michael P. Sheets
Comparison fields: 5 of 84
  • Genetics 203
  • Sensory Systems 48
  • Pathology and Forensic Medicine 153
  • Molecular Biology 584
  • Hepatology 64
Replace Sadao Kuromitsu with:
Sadao Kuromitsu Japan
Olusegun Williams United States
Theresa A. Mays United States
Daniel Iglesias‐Serret Spain
J. Paul Secrist United States
Penglie Zhang United States
Sheng-Chieh Hsu Taiwan
Sébastien Jeay Switzerland
Shannon C. Dixon United States
Adam Shutes United States
Michael P. Sheets relative to Sadao Kuromitsu Japan Sadao Kuromitsu's profile →
Citations per field
00.5×
Sadao Kuromitsu · 1×
Citations per year

Countries citing papers authored by Michael P. Sheets

Since Specialization
Citations

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

Fields of papers citing papers by Michael P. Sheets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201990
2 201610
3 2015247
4 20151
5 2013171
6 201213
7 201119
8 201110
9 201077
10 20102
11 20084
12 200755
13 200227
14 200185
15 19997
16 199910
17 19993
18 199928
19 199818
20 199812

About Michael P. Sheets

Michael P. Sheets is a scholar working on Genetics, Oncology, Hepatology, Immunology and Molecular Biology, having authored 22 papers that have together received 967 indexed citations. Recurring topics across this work include Click Chemistry and Applications (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Synthesis and biological activity (3 papers), Fibroblast Growth Factor Research (3 papers), Immune Cell Function and Interaction (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Signaling Pathways in Disease (3 papers). The work is most often cited by research in Genetics (203 citations), Sensory Systems (48 citations), Pathology and Forensic Medicine (153 citations), Molecular Biology (584 citations) and Hepatology (64 citations). Michael P. Sheets has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Russell C. Petter, Mariana Nacht, William Westlin, Juswinder Singh, Margit Hagel, Christoph Lengauer, Timothy J. Guzi, Joseph L. Kim, Prasoon Chaturvedi and Nooreen Rubin. Their work appears in journals such as SLAS DISCOVERY, Cancer Discovery, Journal of Hepatology, Blood and Journal of Pharmacology and Experimental Therapeutics.

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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