Gerald L. Forrest

1.5k total citations
28 papers, 1.3k citations indexed

About

Gerald L. Forrest is a scholar working on Molecular Biology, Cell Biology and Toxicology. According to data from OpenAlex, Gerald L. Forrest has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Cell Biology and 6 papers in Toxicology. Recurrent topics in Gerald L. Forrest's work include Aldose Reductase and Taurine (8 papers), Bioactive Compounds and Antitumor Agents (6 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). Gerald L. Forrest is often cited by papers focused on Aldose Reductase and Taurine (8 papers), Bioactive Compounds and Antitumor Agents (6 papers) and Genomics, phytochemicals, and oxidative stress (6 papers). Gerald L. Forrest collaborates with scholars based in United States, Australia and France. Gerald L. Forrest's co-authors include B. Gonzalez, Robert R. Klevecz, Douglas B. Murray, James L. Bolen, Steven A. Akman, James H. Doroshow, Wen‐Yih Isaac Tseng, Xue Li, J. John Mann and Donald J. Cummings and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Gerald L. Forrest

28 papers receiving 1.3k citations

Peers

Gerald L. Forrest
Comparison fields: 5 of 98
  • Molecular Biology 834
  • Cell Biology 229
  • Oncology 200
  • Toxicology 196
  • Cardiology and Cardiovascular Medicine 140
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Citations per field, relative to Gerald L. Forrest
Gerald L. Forrest · 1×
Citations per year, relative to Gerald L. Forrest
Gerald L. Forrest · 1×

Countries citing papers authored by Gerald L. Forrest

Since Specialization
Citations

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

Fields of papers citing papers by Gerald L. Forrest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald L. Forrest. 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 Gerald L. Forrest. The network helps show where Gerald L. Forrest may publish in the future.

Co-authorship network of co-authors of Gerald L. Forrest

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald L. Forrest. A scholar is included among the top collaborators of Gerald L. Forrest 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 Gerald L. Forrest. Gerald L. Forrest 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
# Work Indexed citations
1 15
2 242
3 187
4
Human carbonyl reductase overexpression in the heart advances the development of doxorubicin-induced cardiotoxicity in transgenic mice.
120
5 8
6 20
7
Protection against daunorubicin cytotoxicity by expression of a cloned human carbonyl reductase cDNA in K562 leukemia cells.
39
8 30
9 29
10 7
11 26
12 7
13 37
14 9
15 16
16 40
17 31
18 37
19 16
20 14

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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