Dan Chalothorn

1.2k citations
21 papers · 1.0k · h-index 16

Impact in

Papers in

Dan Chalothorn

17 papers receiving 989 citations

Peers

Dan Chalothorn
Comparison fields: 5 of 78
  • Cellular and Molecular Neuroscience 202
  • Neurology 81
  • Molecular Biology 517
  • Immunology and Allergy 38
  • Internal Medicine 20
Replace Arnaud Bocquet with:
Arnaud Bocquet France
Elizabeth Pasnikowski United States
Yi Wei China
Charlene D. Richardson United States
Harold Thibodeaux United States
Candice Junge United States
Don Eslin United States
Tetsuya Ueba Japan
Alexandra Moers Germany
Xiaoping Wu United States
Dan Chalothorn relative to Arnaud Bocquet France Arnaud Bocquet's profile →
Citations per field
00.5×1.5×
Arnaud Bocquet · 1×
Citations per year

Countries citing papers authored by Dan Chalothorn

Since Specialization
Citations

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

Fields of papers citing papers by Dan Chalothorn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Chalothorn. 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 Dan Chalothorn. The network helps show where Dan Chalothorn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008155
2 2002124
3 200490
4 200189
5 200586
6 201086
7 201082
8 200975
9 200349
10 200729
11 202128
12 200527
13 201926
14 201322
15 201019
16 200216
17 20078
18 20240
19 20060
20 20250

About Dan Chalothorn

Dan Chalothorn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (8 papers), Receptor Mechanisms and Signaling (4 papers), Neuroscience and Neuropharmacology Research (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Photoreceptor and optogenetics research (2 papers), Cell Adhesion Molecules Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (202 citations), Neurology (81 citations), Molecular Biology (517 citations), Immunology and Allergy (38 citations) and Internal Medicine (20 citations). Dan Chalothorn has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include James E. Faber, Jason A. Clayton, Michael T. Piascik, Hua Zhang, Stephanie E. Edelmann, Gozoh Tsujimoto, Dan F. McCune, Mary L. Garcı́a-Cazarı́n, David C. Lee and Hua Zhang. Their work appears in journals such as Circulation Research, Blood, Molecular Pharmacology, Physiological Genomics and Thrombosis and Haemostasis.

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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