Howard C. Smith

852 citations
24 papers · 698 · h-index 12

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Howard C. Smith

24 papers receiving 668 citations

Peers

Howard C. Smith
Comparison fields: 5 of 85
  • Immunology 238
  • Organic Chemistry 138
  • Reproductive Medicine 32
  • Pharmacology 55
  • Genetics 87
Replace J. C. Gesquière with:
J. C. Gesquière France
Gang Yan United States
H. Jones United States
Anikó Hevér Hungary
Chris J. Delves United Kingdom
Richard W. Leu United States
Mark Hilliard Ireland
Nathalie Bruey-Sédano United States
Yoshisuke Nishi Japan
Eduardo Parra Chile
Howard C. Smith relative to J. C. Gesquière France J. C. Gesquière's profile →
Citations per field
00.5×3.8×
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 1992297
2 200360
3 197559
4 199855
5 200441
6 199833
7 200225
8 197516
9 201715
10 198915
11 201013
12 198013
13 19938
14 20197
15 19807
16 19747
17 19857
18 20216
19 20164
20 19803

About Howard C. Smith

Howard C. Smith is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health and Pharmacology, having authored 24 papers that have together received 698 indexed citations. Recurring topics across this work include Ovarian function and disorders (6 papers), Thyroid Disorders and Treatments (4 papers), Hormonal and reproductive studies (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Bone health and osteoporosis research (2 papers), Prenatal Screening and Diagnostics (2 papers), Inflammatory mediators and NSAID effects (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Immunology (238 citations), Organic Chemistry (138 citations), Reproductive Medicine (32 citations), Pharmacology (55 citations) and Genetics (87 citations). Howard C. Smith has collaborated with scholars based in Australia, United States and Poland. Frequent co-authors include N. S. Huskisson, Jonathan C. Howard, Simon J. Powis, Geoffrey W. Butcher, Edward V. Deverson, Antonio Ciruela, Mary B. McGuire, Lawrence Levine, Dwight R. Robinson and Creswell J Eastman. Their work appears in journals such as Australian and New Zealand Journal of Obstetrics and Gynaecology, Prostaglandins, Journal of Agricultural and Food Chemistry, Endocrinology and Tetrahedron 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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