Richard T. Ambron

2.3k citations
61 papers · 1.9k indexed · h-index 26
Topics
Neurobiology and Insect Physiology Research (11 papers)Pain Mechanisms and Treatments (11 papers)Neuroscience and Neuropharmacology Research (11 papers)
Partner nations
United StatesCanada

In The Last Decade

Richard T. Ambron

59 papers receiving 1.8k citations

Peers

Richard T. Ambron
Comparison fields: 5 of 113
  • Cellular and Molecular Neuroscience 737
  • Molecular Biology 685
  • Epidemiology 438
  • Physiology 324
  • Cell Biology 279
Replace Markus U. Ehrengruber with:
Markus U. Ehrengruber Switzerland
Nikhil Sharma United States
Manabu Nakayama Japan
Deborah A. Swing United States
Paul E. Neumann Canada
Anastas Popratiloff United States
Johannes Kacza Germany
Megan E. Williams United States
Fung‐Chow Chiu United States
Michael W. Linhoff United States
Richard T. Ambron relative to Markus U. Ehrengruber Switzerland Markus U. Ehrengruber's profile →
Citations per field
00.5×1.5×
Markus U. Ehrengruber · 1×
Citations per year

Countries citing papers authored by Richard T. Ambron

Since Specialization
Citations

This map shows the geographic impact of Richard T. Ambron'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 Richard T. Ambron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard T. Ambron more than expected).

Fields of papers citing papers by Richard T. Ambron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard T. Ambron. 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 Richard T. Ambron. The network helps show where Richard T. Ambron may publish in the future.

Co-authorship network of co-authors of Richard T. Ambron

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 0
5 7
6 55
7 27
8 11
9 54
10 11
11 135
12 22
13 18
14 28
15 38
16 46
17 25
18 86
19 5
20 6

About Richard T. Ambron

Richard T. Ambron is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Cell Biology, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (11 papers), Pain Mechanisms and Treatments (11 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (737 citations), Developmental Neuroscience (112 citations) and Cell Biology (279 citations). Richard T. Ambron has collaborated with scholars based in United States and Canada. Frequent co-authors include Edgar T. Walters, Zhenglun Zhu, Michael D. Gershon, Christopher A. Gabel, A. A. Gershon, James H. Schwartz, James E. Goldman, Michael Povelones, Diane L. Sherman and Yao Hao. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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