D. G. Cottom

613 citations
25 papers · 446 · h-index 13

Impact in

Papers in

    • Diet and metabolism studies 2
    • Chronic Lymphocytic Leukemia Research 2

D. G. Cottom

23 papers receiving 380 citations

Peers

D. G. Cottom
Comparison fields: 5 of 71
  • Clinical Biochemistry 48
  • Pediatrics, Perinatology and Child Health 98
  • Nephrology 24
  • Pulmonary and Respiratory Medicine 101
  • Urology 19
Replace Lawrence B. Slobody with:
Lawrence B. Slobody United States
R. Vernier United States
A Fanconi Switzerland
Francis X. Fellers United States
Gad Kainer Australia
Philip M. LeCompte United States
Joseph H. Magee United States
Peter Nissen Bjerring Denmark
H Kopsa Austria
Robert Beetham United Kingdom
D. G. Cottom relative to Lawrence B. Slobody United States Lawrence B. Slobody's profile →
Citations per field
00.5×4.8×
Lawrence B. Slobody · 1×
Citations per year

Countries citing papers authored by D. G. Cottom

Since Specialization
Citations

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

Fields of papers citing papers by D. G. Cottom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. G. Cottom. 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 D. G. Cottom. The network helps show where D. G. Cottom may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967129
2 196641
3 197239
4 195732
5 195724
6 195622
7 196620
8
Myocardial infarction in a newborn infant.
196817
9 197114
10 195514
11 197214
12 197013
13 195613
14 196811
15 19618
16 19917
17 19646
18 19655
19 19714
20 19714

About D. G. Cottom

D. G. Cottom is a scholar working on Physiology, Genetics, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 25 papers that have together received 446 indexed citations. Recurring topics across this work include Diet and metabolism studies (2 papers), Mast cells and histamine (2 papers), Metabolism and Genetic Disorders (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Medical Imaging and Pathology Studies (1 paper), Biomedical Research and Pathophysiology (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Clinical Biochemistry (48 citations), Pediatrics, Perinatology and Child Health (98 citations), Nephrology (24 citations), Pulmonary and Respiratory Medicine (101 citations) and Urology (19 citations). D. G. Cottom has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include G. Wetherley‐Mein, N. A. Myers, J. W. T. Seakins, A. B. Arthur, Toshiyuki Ando, D. Hull, K. Rasmussen, Anthony W. Kilroy, George N. Donnell and William L. Nyhan. Their work appears in journals such as Archives of Disease in Childhood, The Lancet, British Journal of Haematology, Acta Paediatrica and Developmental Medicine & Child Neurology.

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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