D. Innes Cargill

31 total papers · 673 total citations
26 papers, 494 citations indexed

About

D. Innes Cargill is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Rehabilitation. According to data from OpenAlex, D. Innes Cargill has authored 26 papers receiving a total of 494 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 7 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Rehabilitation. Recurrent topics in D. Innes Cargill's work include Wound Healing and Treatments (6 papers), Hormonal and reproductive studies (5 papers) and Diagnosis and Treatment of Venous Diseases (5 papers). D. Innes Cargill is often cited by papers focused on Wound Healing and Treatments (6 papers), Hormonal and reproductive studies (5 papers) and Diagnosis and Treatment of Venous Diseases (5 papers). D. Innes Cargill collaborates with scholars based in United States, Germany and Canada. D. Innes Cargill's co-authors include Herbert B. Slade, Robert S. Kirsner, William A. Marston, Robert Snyder, Bernard G. Steinetz, Albano C. Méli, Seymour Lieberman, Jay A. Glasel, Albert J. Schütz and James J. Carlo and has published in prestigious journals such as The Lancet, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

D. Innes Cargill

26 papers receiving 442 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
D. Innes Cargill	172	123	100	99	55	26	494
J Kanta	89 0.5×	87 0.7×	38 0.4×	118 1.2×	31 0.6×	34	451
David J. Wagner	68 0.4×	62 0.5×	28 0.3×	85 0.9×	10 0.2×	22	407
Lan He	92 0.5×	66 0.5×	43 0.4×	299 3.0×	63 1.1×	21	522
Chris Fellner	40 0.2×	51 0.4×	118 1.2×	132 1.3×	21 0.4×	24	504
Huijuan Liao	40 0.2×	26 0.2×	27 0.3×	127 1.3×	28 0.5×	49	426
Anna Virginia Adriana Pirozzi	36 0.2×	68 0.6×	24 0.2×	93 0.9×	10 0.2×	23	441
Jesús García‐Bañuelos	25 0.1×	70 0.6×	63 0.6×	156 1.6×	46 0.8×	28	540
Ruizhe Zhao	43 0.3×	60 0.5×	28 0.3×	262 2.6×	14 0.3×	33	546
Jie Bai	99 0.6×	68 0.6×	19 0.2×	248 2.5×	10 0.2×	24	504
Yaping Shen	53 0.3×	39 0.3×	44 0.4×	202 2.0×	44 0.8×	36	498

Countries citing papers authored by D. Innes Cargill

Since Specialization

Citations

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

Fields of papers citing papers by D. Innes Cargill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Innes Cargill

This figure shows the co-authorship network connecting the top 25 collaborators of D. Innes Cargill. A scholar is included among the top collaborators of D. Innes Cargill 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 D. Innes Cargill. D. Innes Cargill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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