D. C. Whitcomb

483 total citations
9 papers, 278 citations indexed

About

D. C. Whitcomb is a scholar working on Surgery, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, D. C. Whitcomb has authored 9 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Oncology. Recurrent topics in D. C. Whitcomb's work include Neuropeptides and Animal Physiology (3 papers), Pancreatitis Pathology and Treatment (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). D. C. Whitcomb is often cited by papers focused on Neuropeptides and Animal Physiology (3 papers), Pancreatitis Pathology and Treatment (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). D. C. Whitcomb collaborates with scholars based in United States, Switzerland and Italy. D. C. Whitcomb's co-authors include Ian L. Taylor, Steven R. Vigna, Augustus O. Grant, F. Roosevelt Gilliam, C F Starmer, Thomas M. O’Dorisio, Niklaus Gyr, Garth D. Ehrlich, Michael C. Gorry and Liaquat Ali and has published in prestigious journals such as Journal of Clinical Investigation, American Journal of Physiology-Endocrinology and Metabolism and American Journal of Physiology-Gastrointestinal and Liver Physiology.

In The Last Decade

D. C. Whitcomb

9 papers receiving 273 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
D. C. Whitcomb United States	7	129	105	86	82	46	9	278
Yibai Hao United States	7	67 0.5×	126 1.2×	48 0.6×	76 0.9×	27 0.6×	8	319
S Guzman United States	8	174 1.3×	126 1.2×	66 0.8×	80 1.0×	46 1.0×	10	328
José Manuel Barragán Casas Spain	7	107 0.8×	177 1.7×	66 0.8×	109 1.3×	21 0.5×	19	448
H. Schw�rer Germany	11	90 0.7×	99 0.9×	21 0.2×	102 1.2×	19 0.4×	14	372
H. D. Allescher Germany	12	73 0.6×	135 1.3×	30 0.3×	79 1.0×	32 0.7×	32	357
Gurll Nj United States	8	172 1.3×	56 0.5×	26 0.3×	137 1.7×	11 0.2×	14	334
R. Edin Sweden	10	304 2.4×	136 1.3×	41 0.5×	148 1.8×	19 0.4×	15	474
I. Maclntyre United Kingdom	5	151 1.2×	27 0.3×	28 0.3×	87 1.1×	23 0.5×	7	310
Ayhan Bozkurt Türkiye	5	64 0.5×	166 1.6×	139 1.6×	67 0.8×	25 0.5×	7	448
J.B. Fishback United States	8	55 0.4×	73 0.7×	35 0.4×	45 0.5×	16 0.3×	11	355

Countries citing papers authored by D. C. Whitcomb

Since Specialization

Citations

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

Fields of papers citing papers by D. C. Whitcomb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. C. Whitcomb

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

All Works

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9 of 9 papers shown

Greer, Julia B., et al.. (2008). Serology in autoimmune pancreatitis.. PubMed. 54(4). 375–87. 4 indexed citations

Eagon, Patricia K., et al.. (2001). Chronic Ethanol Consumption Induces Gene Expression of Pancreatic Monitor Peptide, but not SPINK1/PSTI-56, in Rats. Pancreas. 23(2). 117–124. 12 indexed citations

Whitcomb, D. C., et al.. (1998). Lack of R117H Mutation in the Cationic Trypsinogen Gene in Patients with Tropical Pancreatitis from Bangladesh. Pancreas. 17(3). 278–280. 33 indexed citations

Whitcomb, D. C., et al.. (1994). Saturable binding of circulating peptide YY in the dorsal vagal complex of rats. American Journal of Physiology-Gastrointestinal and Liver Physiology. 266(3). G511–G516. 53 indexed citations

Whitcomb, D. C., Steven R. Vigna, Douglas C. McVey, & Ian L. Taylor. (1992). Localization and characterization of pancreatic polypeptide receptors in rat adrenal glands. American Journal of Physiology-Gastrointestinal and Liver Physiology. 262(3). G532–G536. 10 indexed citations

Whitcomb, D. C., Ian L. Taylor, & Steven R. Vigna. (1990). Characterization of saturable binding sites for circulating pancreatic polypeptide in rat brain. American Journal of Physiology-Gastrointestinal and Liver Physiology. 259(4). G687–G691. 113 indexed citations

Whitcomb, D. C., F. Roosevelt Gilliam, C F Starmer, & Augustus O. Grant. (1989). Marked QRS complex abnormalities and sodium channel blockade by propoxyphene reversed with lidocaine.. Journal of Clinical Investigation. 84(5). 1629–1636. 33 indexed citations

Whitcomb, D. C., et al.. (1985). Identification of tissue insulin receptors: use of a unique in vivo radioreceptor assay. American Journal of Physiology-Endocrinology and Metabolism. 249(6). E561–E567. 15 indexed citations

Whitcomb, D. C., et al.. (1985). Theoretical basis for a new in vivo radioreceptor assay for polypeptide hormones. American Journal of Physiology-Endocrinology and Metabolism. 249(6). E555–E560. 5 indexed citations

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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