Joan Subrath

691 total citations
11 papers, 484 citations indexed

About

Joan Subrath is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Joan Subrath has authored 11 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Organic Chemistry. Recurrent topics in Joan Subrath's work include Protein Kinase Regulation and GTPase Signaling (5 papers), Neuropeptides and Animal Physiology (5 papers) and Receptor Mechanisms and Signaling (4 papers). Joan Subrath is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (5 papers), Neuropeptides and Animal Physiology (5 papers) and Receptor Mechanisms and Signaling (4 papers). Joan Subrath collaborates with scholars based in United States, Canada and Hungary. Joan Subrath's co-authors include Susruta Majumdar, Gavril W. Pasternak, András Váradi, Valerie Le Rouzic, Amanda Hunkele, Gina F. Marrone, Travis C. Palmer, Ying‐Xian Pan, Steven G. Grinnell and Attila Borics and has published in prestigious journals such as Journal of Medicinal Chemistry, Organic Letters and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Joan Subrath

11 papers receiving 465 citations

Peers

Joan Subrath
Comparison fields: 5 of 50
  • Molecular Biology 242
  • Organic Chemistry 199
  • Cellular and Molecular Neuroscience 173
  • Pharmacology 167
  • Biochemistry 121
Replace Márton Richárd Szabó with:
Márton Richárd Szabó Hungary
Wen‐Lian Wu United States
Matthew Schmidt United States
Dennis Yasuda United States
Xinrong Tian United States
Anna Wyrębska Poland
Kai Lamottke Germany
Kevin G. Liu United States
Vittorio Vecchietti Italy
Barnett S. Pitzele United States
Márton Richárd Szabó Hungary View profile →
Citations per field, relative to Joan Subrath
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Citations per year, relative to Joan Subrath
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Countries citing papers authored by Joan Subrath

Since Specialization
Citations

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

Fields of papers citing papers by Joan Subrath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Subrath

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 9
2 245
3 39
4 42
5 20
6 42
7 14
8 16
9 16
10 20
11 21

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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