W J Checovich

1.1k citations
12 papers · 961 indexed · h-index 11
Topics
Lipoproteins and Cardiovascular Health (4 papers)Peroxisome Proliferator-Activated Receptors (3 papers)Cell Adhesion Molecules Research (3 papers)
Partner nations
United StatesJapan

In The Last Decade

W J Checovich

12 papers receiving 917 citations

Peers

W J Checovich
Comparison fields: 5 of 99
  • Molecular Biology 378
  • Genetics 213
  • Health, Toxicology and Mutagenesis 155
  • Cancer Research 122
  • Surgery 117
Replace Tomoko Nishimaki‐Mogami with:
Tomoko Nishimaki‐Mogami Japan
Weinstein Ib United States
Giocondo Lorenzon France
Maria Antonietta Belisario Italy
Wayne P. Bocchinfuso United States
Margareta Berggren United States
H. J. Cahnmann United States
James A. Bennett United States
Caitlin Harris United States
Yoshihiro Deyashiki Japan
W J Checovich relative to Tomoko Nishimaki‐Mogami Japan Tomoko Nishimaki‐Mogami's profile →
Citations per field
00.5×1.5×1.8×
Tomoko Nishimaki‐Mogami · 1×
Citations per year

Countries citing papers authored by W J Checovich

Since Specialization
Citations

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

Fields of papers citing papers by W J Checovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W J Checovich

This figure shows the co-authorship network connecting the top 25 collaborators of W J Checovich. A scholar is included among the top collaborators of W J Checovich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with W J Checovich. W J Checovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 268
2 19
3 120
4 151
5 97
6
A new protease activity assay using fluorescence polarization.
38
7 37
8 8
9 16
10 51
11 29
12 127

About W J Checovich

W J Checovich is a scholar working on Immunology and Allergy, Cancer Research and Health, Toxicology and Mutagenesis, having authored 12 papers that have together received 961 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Immunology and Allergy (93 citations), Health, Toxicology and Mutagenesis (155 citations) and Pharmacology (97 citations). W J Checovich has collaborated with scholars based in United States and Japan. Frequent co-authors include Randall E. Bolger, Kerry M. Ervin, Thomas G. Burke, Alan Attie, J. Rapacz, Judith Hasler‐Rapacz, Deane F. Mosher, Peter Shaw, F. Peter Guengerich and Hiroshi Yamazaki. Their work appears in journals such as Nature, Science and Journal of Biological 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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