John M. Whiteley

1.8k citations
65 papers · 1.4k indexed · h-index 21

John M. Whiteley

65 papers receiving 1.3k citations

Peers

John M. Whiteley
Comparison fields: 5 of 87
  • Clinical Biochemistry 158
  • Molecular Biology 961
  • Genetics 377
  • Cell Biology 177
  • Biochemistry 73
Replace Giovanna Valentini with:
Giovanna Valentini Italy
Keiichi Hosokawa Japan
Faik N. Musayev United States
Stuart M. Arfin United States
Dale T. Blankenship United States
DeWayne Roberts United States
E. Horjales Mexico
Roger F. Sherwood United Kingdom
Gregg E. Davies United States
Maire Hakala United States
John M. Whiteley relative to Giovanna Valentini Italy Giovanna Valentini's profile →
Citations per field
00.5×1.5×2.4×
Giovanna Valentini · 1×
Citations per year

Countries citing papers authored by John M. Whiteley

Since Specialization
Citations

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

Fields of papers citing papers by John M. Whiteley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Whiteley. 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 John M. Whiteley. The network helps show where John M. Whiteley may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199885
2 199740
3 199749
4 199712
5
Phosphoprotein hydrolysis is modulated by amino acid residue 56 in Spo0F apprx P from Bacillus subtilis
19961
6 19965
7 199617
8 199656
9 199529
10 19941
11 19941
12 19939
13 19939
14 19918
15 19911
16 19918
17 19882
18 198018
19 197745
20 196914

About John M. Whiteley

John M. Whiteley is a scholar working on Clinical Biochemistry, Cell Biology and Molecular Biology, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (20 papers), Biochemical and Molecular Research (15 papers), Aldose Reductase and Taurine (13 papers), Enzyme Structure and Function (13 papers), Bacterial Genetics and Biotechnology (9 papers), Bacteriophages and microbial interactions (7 papers), Folate and B Vitamins Research (6 papers) and Muscle metabolism and nutrition (5 papers). The work is most often cited by research in Clinical Biochemistry (158 citations), Molecular Biology (961 citations) and Genetics (377 citations). John M. Whiteley has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Kottayil I. Varughese, James A. Hoch, James Zapf, M. D. Madhusudan, Stephanie Webber, N.-H. Xuong, Barbara C.F. Chu, Matthew M. Skinner, F.M. Huennekens and Nguyen‐Huu Xuong. Their work appears in journals such as Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Biochemistry, Analytical Biochemistry and Advances in experimental medicine and biology.

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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