David M. Large

27 papers receiving 488 citations

Peers

David M. Large
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 171
  • Nephrology 57
  • Microbiology 5
  • Reproductive Medicine 22
  • Periodontics 13
Replace Daniele Tessaris with:
Daniele Tessaris Italy
Elena Pintos Spain
Walter Josef Faßbender Germany
Talat Mushtaq United Kingdom
Kelley A. Hoey United States
Katsutaka Matsumoto Japan
Jennifer J. Cook United States
Miho Yano Japan
Saygın Abalı Türkiye
Cecilia Kennbäck Sweden
David M. Large relative to Daniele Tessaris Italy Daniele Tessaris's profile →
Citations per field
00.5×1.5×1.9×
Daniele Tessaris · 1×
Citations per year

Countries citing papers authored by David M. Large

Since Specialization
Citations

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

Fields of papers citing papers by David M. Large

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198493
2 198474
3 198169
4 200059
5 197953
6 198526
7 198323
8 199921
9 200821
10 198416
11 198015
12 198412
13 199211
14 199110
15 20039
16 19848
17 19867
18 19836
19 19946
20 20065

About David M. Large

David M. Large is a scholar working on Endocrinology, Diabetes and Metabolism, Dermatology, Nephrology, Reproductive Medicine and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 555 indexed citations. Recurring topics across this work include Male Breast Health Studies (4 papers), Hypothalamic control of reproductive hormones (2 papers), Peripheral Nerve Disorders (2 papers), Parathyroid Disorders and Treatments (2 papers), Lipid metabolism and disorders (2 papers), Skin Diseases and Diabetes (2 papers), Sexual Differentiation and Disorders (2 papers) and Spinal Hematomas and Complications (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (171 citations), Nephrology (57 citations), Microbiology (5 citations), Reproductive Medicine (22 citations) and Periodontics (13 citations). David M. Large has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include D. C. Anderson, Judith Anne Cantrill, PETER H. ADAMS, P S Klimiuk, G. A. Lumb, Paul N. Durrington, Ian Laing, W.D. Paterson, G. M. Besser and Jean D. Wilson. Their work appears in journals such as Clinical Endocrinology, Postgraduate Medical Journal, Journal of Clinical Investigation, Journal of Neurology Neurosurgery & Psychiatry and Journal of the American Academy of Dermatology.

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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