Howard C. Smith

25 papers receiving 715 citations

Peers

Howard C. Smith
Comparison fields: 5 of 90
  • Immunology 241
  • Organic Chemistry 151
  • Pharmacology 61
  • Virology 16
  • Cellular and Molecular Neuroscience 63
Replace J. C. Gesquière with:
J. C. Gesquière France
Gang Yan United States
David A. Ellis United States
RT Swank United States
Anil D’Souza United States
Yoshisuke Nishi Japan
Yoshikazu Sukenaga Japan
Alexander Cecil Germany
Richard W. Leu United States
Eduardo Antonio Parra Chile
Howard C. Smith relative to J. C. Gesquière France J. C. Gesquière's profile →
Citations per field
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J. C. Gesquière · 1×
Citations per year

Countries citing papers authored by Howard C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Howard C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard C. Smith. 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 Howard C. Smith. The network helps show where Howard C. Smith may publish in the future.

Co-authors

The 25 scholars most cited alongside Howard C. Smith, 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 Howard C. Smith Line = papers co-authored together Howard C. Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992317
2 200368
3 197565
4 199861
5 200450
6 199837
7 200227
8 198917
9 201017
10 197516
11 201715
12 198014
13 19939
14 19959
15 19748
16 19807
17 20197
18 19856
19 20216
20 20165

About Howard C. Smith

Howard C. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Pharmacology, Orthopedics and Sports Medicine and Rheumatology, having authored 26 papers that have together received 772 indexed citations. Recurring topics across this work include Ovarian function and disorders (5 papers), Thyroid Disorders and Treatments (4 papers), Prenatal Screening and Diagnostics (2 papers), Neurobiology and Insect Physiology Research (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Immunology (241 citations), Organic Chemistry (151 citations), Pharmacology (61 citations), Virology (16 citations) and Cellular and Molecular Neuroscience (63 citations). Howard C. Smith has collaborated with scholars based in Australia, United States and Poland. Frequent co-authors include Simon J. Powis, Geoffrey W. Butcher, Neville S. Huskisson, Edward V. Deverson, Antonio Ciruela, Jonathan Charles Howard, Lawrence Levine, Dwight Rienzi. Robinson, Mary B. McGuire and Colin M. Tice. Their work appears in journals such as Australian and New Zealand Journal of Obstetrics and Gynaecology, Prostaglandins, The Medical Journal of Australia, The Journal of Clinical Endocrinology & Metabolism and Immunology and Cell Biology.

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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