Robert J. Cassell

708 citations
15 papers · 532 indexed · h-index 10
Topics
Neuropeptides and Animal Physiology (7 papers)Receptor Mechanisms and Signaling (6 papers)Pharmacological Receptor Mechanisms and Effects (5 papers)
Partner nations
United StatesChina

In The Last Decade

Robert J. Cassell

15 papers receiving 526 citations

Peers

Robert J. Cassell
Comparison fields: 5 of 67
  • Molecular Biology 412
  • Cellular and Molecular Neuroscience 163
  • Organic Chemistry 78
  • Pharmacology 66
  • Oncology 65
Replace Chidochangu P. Mpamhanga with:
Chidochangu P. Mpamhanga United Kingdom
Ravi Kumar Verma Singapore
Lilia Weizel Germany
Elina Ekokoski Finland
Chi Shing Sum United States
Wayne P. Bowen United Kingdom
H. Y. Xu China
Ashutosh A. Kulkarni United States
Haibei Hu United States
Cheryl A. Grice United States
Robert J. Cassell relative to Chidochangu P. Mpamhanga United Kingdom Chidochangu P. Mpamhanga's profile →
Citations per field
00.5×2.7×
Chidochangu P. Mpamhanga · 1×
Citations per year

Countries citing papers authored by Robert J. Cassell

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Cassell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert J. Cassell

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 9
3 8
4 22
5 9
6 83
7 1
8 55
9 95
10 32
11 25
12 32
13 34
14 3
15 122

About Robert J. Cassell

Robert J. Cassell is a scholar working on Biochemistry, Pharmacology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 532 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (6 papers) and Pharmacological Receptor Mechanisms and Effects (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (163 citations), Biochemistry (56 citations) and Pharmacology (66 citations). Robert J. Cassell has collaborated with scholars based in United States and China. Frequent co-authors include Richard M. van Rijn, Benjamin Cummins, Danny T. Huang, Rose Mathew, David W. Miller, Brenda A. Schulman, James M. Holton, Martine F. Roussel, Emily C. Dykhuizen and Aktan Alpsoy. Their work appears in journals such as Journal of the American Chemical Society, The FASEB Journal and Journal of Pharmacology and Experimental Therapeutics.

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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