D. B. Borson

29 papers receiving 2.0k citations

Peers

D. B. Borson
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 1.1k
  • Physiology 1.1k
  • Endocrine and Autonomic Systems 198
  • Pulmonary and Respiratory Medicine 746
  • Oncology 439
Replace G. Kunkel with:
G. Kunkel Germany
Dedmer Schaafsma Canada
Carmel M. McNicholas United States
Yasmina Juarranz Spain
Yoshitaka Hirayama Japan
Mieke Timmers Netherlands
Norbert Reinisch Austria
Julia Winkler United States
Dominique Talabot‐Ayer Switzerland
Daniela Renzi Italy
D. B. Borson relative to G. Kunkel Germany G. Kunkel's profile →
Citations per field
00.5×5.9×
G. Kunkel · 1×
Citations per year

Countries citing papers authored by D. B. Borson

Since Specialization
Citations

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

Fields of papers citing papers by D. B. Borson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside D. B. Borson, 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. B. Borson Line = papers co-authored together D. B. Borson 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 1989189
2 1987159
3 1988142
4 1989120
5 1987107
6 1991105
7 1988102
8 198998
9 198895
10 198890
11 199190
12 198786
13 198683
14 199180
15 199179
16 198879
17 198771
18 198963
19 198960
20 198454

About D. B. Borson

D. B. Borson is a scholar working on Cellular and Molecular Neuroscience, Oncology, Physiology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (19 papers), Peptidase Inhibition and Analysis (13 papers), Asthma and respiratory diseases (11 papers), Respiratory and Cough-Related Research (7 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Antimicrobial Peptides and Activities (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Physiology (1.1k citations), Endocrine and Autonomic Systems (198 citations), Pulmonary and Respiratory Medicine (746 citations) and Oncology (439 citations). D. B. Borson has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Jay A. Nadel, Daniel Dusser, Kiyohisa Sekizawa, T. D. Djokic, Jun Tamaoki, P. D. Graf, Jay A. Nadel, David B. Jacoby, Carol Basbaum and J A Nadel. Their work appears in journals such as Journal of Applied Physiology, Journal of Clinical Investigation, Journal of Pharmacology and Experimental Therapeutics, International Archives of Allergy and Immunology and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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