H. M. Goodman

14.1k citations
191 papers · 10.0k indexed · 3 hit papers · h-index 53

Impact in

Papers in

H. M. Goodman

190 papers receiving 9.2k citations

Hit Papers

Human growth hormone as a reporter gene in regulation studies employing transient gene expression. 1986 · 620 citations
6201980202619952010200400600

Peers

H. M. Goodman
Comparison fields: 5 of 137
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Molecular Biology 5.8k
  • Plant Science 2.4k
  • Genetics 1.8k
  • Animal Science and Zoology 588
Replace John Shine with:
John Shine Australia
Martha Vaughan United States
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Citations per year

Countries citing papers authored by H. M. Goodman

Since Specialization
Citations

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

Fields of papers citing papers by H. M. Goodman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. M. Goodman. 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 H. M. Goodman. The network helps show where H. M. Goodman may publish in the future.

Co-authors

The 25 scholars most cited alongside H. M. Goodman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. M. Goodman Line = papers co-authored together H. M. Goodman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Coping with the environment : neural and endocrine mechanisms
200169
2 20007
3 199892
4
Evidence for a multifocal origin of papillary serous carcinoma of the peritoneum.
199582
5 199410
6 199416
7 199367
8 19937
9 19911
10 199114
11 199147
12 199048
13 19909
14 199027
15
Gene transfer in rabbits and pigs.
19863
16
Structure of growth hormone gene sequences and their expression in bacteria and in cultured cells
19792
17 197719
18 19715
19 197054
20 196628

About H. M. Goodman

H. M. Goodman is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Physiology, Molecular Biology and Cell Biology, having authored 191 papers that have together received 10.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (65 papers), Adipose Tissue and Metabolism (55 papers), Diet and metabolism studies (26 papers), Metabolism, Diabetes, and Cancer (24 papers), Muscle metabolism and nutrition (19 papers), Regulation of Appetite and Obesity (18 papers), Cancer, Hypoxia, and Metabolism (17 papers) and RNA and protein synthesis mechanisms (17 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Molecular Biology (5.8k citations), Plant Science (2.4k citations), Genetics (1.8k citations) and Animal Science and Zoology (588 citations). H. M. Goodman has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include J. Michael Bishop, David D. Moore, Richard F. Selden, Mary Ellen Rowe, G Frick, Harold Varmus, Susan Hanley, Peter H. Seeburg, Michael J. Comb and Joseph Pearlberg. Their work appears in journals such as Endocrinology, Proceedings of the National Academy of Sciences, Experimental Biology and Medicine, Journal of Biological Chemistry and The Plant Cell.

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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