Philip G. Hoffman

1.1k total citations
26 papers, 889 citations indexed

About

Philip G. Hoffman is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Philip G. Hoffman has authored 26 papers receiving a total of 889 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Oncology. Recurrent topics in Philip G. Hoffman's work include Estrogen and related hormone effects (5 papers), Hormonal Regulation and Hypertension (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). Philip G. Hoffman is often cited by papers focused on Estrogen and related hormone effects (5 papers), Hormonal Regulation and Hypertension (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). Philip G. Hoffman collaborates with scholars based in United States, United Kingdom and Cameroon. Philip G. Hoffman's co-authors include D. C. Tosteson, Michael Friedman, Harvey B. Pollard, Oren Zinder, D. Jeffrey Demanes, William M. Bonner, Peter E. Goretzki, M. L. Davis, Orlo H. Clark and B. A. Rasmusen and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Cancer.

In The Last Decade

Philip G. Hoffman

26 papers receiving 798 citations

Peers

Philip G. Hoffman
Comparison fields: 5 of 110
  • Molecular Biology 454
  • Genetics 163
  • Physiology 130
  • Endocrinology, Diabetes and Metabolism 125
  • Cell Biology 116
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Citations per field, relative to Philip G. Hoffman
Philip G. Hoffman · 1×
Citations per year, relative to Philip G. Hoffman
Philip G. Hoffman · 1×

Countries citing papers authored by Philip G. Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by Philip G. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip G. Hoffman

This figure shows the co-authorship network connecting the top 25 collaborators of Philip G. Hoffman. A scholar is included among the top collaborators of Philip G. Hoffman 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 Philip G. Hoffman. Philip G. Hoffman 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 5
2
NEAT-o-Games: Exertion Interface Interwoven in Daily Life
5
3 2
4 1
5 53
6 1
7 66
8 20
9 10
10
Hepatomas: hormone receptors and therapy.
76
11 64
12 13
13
Comparison of [3H]progesterone and [6,7-3H]-17,21-dimethyl-19-norpregna-4,9-diene-3,20-dione for the measurement of progesterone receptors in human malignant tissue.
24
14 41
15 6
16 17
17 35
18 138
19 66
20 16

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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