M. Whittaker

30 papers receiving 652 citations

Peers

M. Whittaker
Comparison fields: 5 of 112
  • Applied Psychology 119
  • Pharmacology 186
  • Nephrology 60
  • Computational Theory and Mathematics 98
  • Experimental and Cognitive Psychology 61
Replace Guey‐Mei Jow with:
Guey‐Mei Jow Taiwan
Constance L. Wood United States
Kary E. Thompson United States
Stefano Milleri Italy
Harry Green United Kingdom
Linda Rhodes United States
A. M. Li Hong Kong
Robert Alexander United States
R. H. Ettinger United States
Ting Hu China
M. Whittaker relative to Guey‐Mei Jow Taiwan Guey‐Mei Jow's profile →
Citations per field
00.5×9.8×
Guey‐Mei Jow · 1×
Citations per year

Countries citing papers authored by M. Whittaker

Since Specialization
Citations

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

Fields of papers citing papers by M. Whittaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004174
2 1981121
3 200061
4 198950
5 196047
6 200933
7 198329
8 200123
9 198923
10
A case of Hodgkin's disease complicating Crohn's disease.
198222
11 198317
12 197516
13 196012
14 198412
15 198812
16 198111
17 199010
18 196810
19 19906
20 19854

About M. Whittaker

M. Whittaker is a scholar working on Pharmacology, Computational Theory and Mathematics, Molecular Biology, Plant Science and Epidemiology, having authored 33 papers that have together received 713 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (13 papers), Computational Drug Discovery Methods (9 papers), Pesticide Exposure and Toxicity (4 papers), Bartonella species infections research (2 papers), Herpesvirus Infections and Treatments (2 papers), Anesthesia and Sedative Agents (2 papers), bioluminescence and chemiluminescence research (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Applied Psychology (119 citations), Pharmacology (186 citations), Nephrology (60 citations), Computational Theory and Mathematics (98 citations) and Experimental and Cognitive Psychology (61 citations). M. Whittaker has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include Michael McDonough, I. M. Marks, Mark Kenwright, David Mataix‐Cols, W. Kalow, W. Pilz, S. S. Brown, E. Silk, H. Lehmann and H. Harris. Their work appears in journals such as British Journal of Anaesthesia, Human Heredity, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Anaesthesia and Clinical Rheumatology.

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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