Gregory G. Tall

4.1k citations
56 papers · 2.9k indexed · h-index 31
Topics
Receptor Mechanisms and Signaling (26 papers)Protein Kinase Regulation and GTPase Signaling (20 papers)Neuropeptides and Animal Physiology (12 papers)

In The Last Decade

Gregory G. Tall

55 papers receiving 2.9k citations

Peers

Gregory G. Tall
Comparison fields: 5 of 96
  • Molecular Biology 2.2k
  • Cell Biology 828
  • Cellular and Molecular Neuroscience 657
  • Genetics 252
  • Immunology and Allergy 212
Replace Johan Van Lint with:
Johan Van Lint Belgium
Alexander G. Petrenko Russia
Mark E. Graham Australia
Anne B. Theibert United States
Kazuko Fujisawa Japan
Shirin M. Marfatia United States
Randall N. Pittman United States
Margaret H. Butler United States
Francisco Cruzalegui France
Maria Cristina Gagliani Italy
Gregory G. Tall relative to Johan Van Lint Belgium Johan Van Lint's profile →
Citations per field
00.5×9.5×
Johan Van Lint · 1×
Citations per year

Countries citing papers authored by Gregory G. Tall

Since Specialization
Citations

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

Fields of papers citing papers by Gregory G. Tall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory G. Tall. 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 Gregory G. Tall. The network helps show where Gregory G. Tall may publish in the future.

Co-authorship network of co-authors of Gregory G. Tall

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory G. Tall. A scholar is included among the top collaborators of Gregory G. Tall 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 Gregory G. Tall. Gregory G. Tall 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 2
2 8
3 85
4 104
5 66
6 15
7 45
8 17
9 69
10 12
11 103
12 3
13 44
14 90
15 57
16 48
17 14
18 74
19 29
20 135

About Gregory G. Tall

Gregory G. Tall is a scholar working on Aging, Cell Biology and Cellular and Molecular Neuroscience, having authored 56 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (26 papers), Protein Kinase Regulation and GTPase Signaling (20 papers) and Neuropeptides and Animal Physiology (12 papers). The work is most often cited by research in Aging (90 citations), Cell Biology (828 citations) and Cellular and Molecular Neuroscience (657 citations). Gregory G. Tall has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Bruce Horazdovsky, Alfred G. Gilman, Hannah M. Stoveken, Andrejs M. Krumins, Hiroko Hama, Philip D. Stahl, M. Alejandro Barbieri, Alexander Hajduczok, Lei Xu and PuiYee Chan. Their work appears in journals such as Nature, 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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