J Krall

61 papers receiving 1.4k citations

Peers

J Krall
Comparison fields: 5 of 109
  • Cardiology and Cardiovascular Medicine 316
  • Behavioral Neuroscience 46
  • Molecular Biology 702
  • Cellular and Molecular Neuroscience 173
  • Physiology 210
Replace Takamura Muraki with:
Takamura Muraki Japan
Robert I. Gregerman United States
Yifan Chen United States
Joel G. Hardman United States
Yoshiharu Itoh Japan
Natalie Alexander United States
Junichi Fujii Japan
Shigeaki Baba Japan
Noriko Fujiwara Japan
C. Allard France
J Krall relative to Takamura Muraki Japan Takamura Muraki's profile →
Citations per field
00.5×1.7×
Takamura Muraki · 1×
Citations per year

Countries citing papers authored by J Krall

Since Specialization
Citations

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

Fields of papers citing papers by J Krall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988177
2 1989118
3 199178
4 198673
5 195572
6 198069
7 198168
8 197866
9 199063
10 197756
11 198353
12 198451
13 199343
14 198440
15 198834
16 199132
17 197629
18 198122
19 198321
20 197919

About J Krall

J Krall is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Social Psychology and Pulmonary and Respiratory Medicine, having authored 62 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuroendocrine regulation and behavior (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Estrogen and related hormone effects (7 papers), Neuropeptides and Animal Physiology (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Ion channel regulation and function (6 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (316 citations), Behavioral Neuroscience (46 citations), Molecular Biology (702 citations), Cellular and Molecular Neuroscience (173 citations) and Physiology (210 citations). J Krall has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Stanley G. Korenman, Matthew A. Movsesian, Robert E. Lynch, Michael R. Bristow, M L Tuck, Robert A. Hallewell, Guy T. Mullenbach, Michael L. Tuck, Carolyn J. Smith and Jack Barrett. Their work appears in journals such as Archives of Biochemistry and Biophysics, Experimental Biology and Medicine, Journal of Biological Chemistry, Biology of Reproduction and Biochemical Pharmacology.

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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