Henry C. Ford

1.4k citations
56 papers · 1.1k · h-index 22

Impact in

Papers in

Henry C. Ford

56 papers receiving 1.0k citations

Peers

Henry C. Ford
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 485
  • Obstetrics and Gynecology 101
  • Pharmacology 62
  • Small Animals 50
  • Nephrology 43
Replace G. Skude with:
G. Skude Sweden
P G Quinn United States
A. H. Zwinderman Netherlands
Yasunori Shibutani Japan
Swapan K. De United States
T Shimamura United States
Juan Sáinz Spain
C. P. Peter United States
Arthur Bauman United States
Israel Diamond United States
Henry C. Ford relative to G. Skude Sweden G. Skude's profile →
Citations per field
00.5×6.3×
G. Skude · 1×
Citations per year

Countries citing papers authored by Henry C. Ford

Since Specialization
Citations

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

Fields of papers citing papers by Henry C. Ford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198465
2 199763
3 197461
4 199053
5 199351
6 198945
7 199945
8 198843
9 198239
10 199233
11 199231
12
Transforming growth factor-beta inhibits human T-cell proliferation through multiple targets.
199230
13 198229
14 197927
15 198126
16 198826
17 199825
18 198625
19 198424
20 199224

About Henry C. Ford

Henry C. Ford is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pediatrics, Perinatology and Child Health, Nutrition and Dietetics and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (13 papers), Hormonal Regulation and Hypertension (6 papers), Pregnancy and preeclampsia studies (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Hormonal and reproductive studies (4 papers), Infant Nutrition and Health (4 papers), Neonatal Health and Biochemistry (4 papers) and Folate and B Vitamins Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (485 citations), Obstetrics and Gynecology (101 citations), Pharmacology (62 citations), Small Animals (50 citations) and Nephrology (43 citations). Henry C. Ford has collaborated with scholars based in New Zealand, United States and Canada. Frequent co-authors include Penelope Truman, Lewis L. Engel, Colin M. Feek, Lambro A. Johnson, Stefan K. Grebe, Jean S. Gale, M. F. Tarttelin, J S Wakefield, Tim Green and Floyd E. Fox. Their work appears in journals such as Clinical Endocrinology, New Zealand Veterinary Journal, Biochemical Journal, American Journal of Hematology and Journal of Oral and Maxillofacial Surgery.

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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