Howard C. Smith

24 papers receiving 705 citations

Peers

Howard C. Smith
Comparison fields: 5 of 88
  • Immunology 239
  • Organic Chemistry 150
  • Pharmacology 60
  • Virology 16
  • Cellular and Molecular Neuroscience 61
Replace J. C. Gesquière with:
J. C. Gesquière France
Masako Kuno Japan
Srinivas Bandaru India
Gang Yan United States
Richard W. Leu United States
Nguyen T. Van United States
Yoshisuke Nishi Japan
Laura Rocco Carpenter United States
Anikó Hevér Hungary
Eduardo Parra Chile
Howard C. Smith relative to J. C. Gesquière France J. C. Gesquière's profile →
Citations per field
00.5×3.3×
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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992314
2 200366
3 197565
4 199860
5 200450
6 199837
7 200227
8 198917
9 201016
10 197516
11 201715
12 198014
13 19939
14 19748
15 20197
16 19807
17 19857
18 20216
19 20165
20 19803

About Howard C. Smith

Howard C. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Pharmacology and Organic Chemistry, having authored 24 papers that have together received 756 indexed citations. Recurring topics across this work include Ovarian function and disorders (5 papers), Thyroid Disorders and Treatments (4 papers), Inflammatory mediators and NSAID effects (2 papers), Hormonal and reproductive studies (2 papers), Bone health and osteoporosis research (2 papers), Sexual Differentiation and Disorders (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Immunology (239 citations), Organic Chemistry (150 citations), Pharmacology (60 citations), Virology (16 citations) and Cellular and Molecular Neuroscience (61 citations). Howard C. Smith has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include N. S. Huskisson, Jonathan C. Howard, Geoffrey W. Butcher, Simon J. Powis, Edward V. Deverson, Antonio Ciruela, Lawrence Levine, Dwight R. 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, Biochemical and Biophysical Research Communications, Paediatric Respiratory Reviews and Bioorganic & Medicinal Chemistry Letters.

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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