Joseph Smith

140 papers receiving 2.6k citations

Peers

Joseph Smith
Comparison fields: 5 of 166
  • Equine 130
  • Hematology 454
  • Small Animals 153
  • Genetics 206
  • Cardiology and Cardiovascular Medicine 373
Replace John Humphrey with:
John Humphrey Tanzania
Arthur M. Silverstein United States
R.W. Kelly United Kingdom
Lewis Thomas United States
Margaret A. Miller United States
P. B. Medawar United Kingdom
K. James United Kingdom
Christian Schwabe United States
Kaori Koga Japan
Jurrien Dean United States
Joseph Smith relative to John Humphrey Tanzania John Humphrey's profile →
Citations per field
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John Humphrey · 1×
Citations per year

Countries citing papers authored by Joseph Smith

Since Specialization
Citations

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

Fields of papers citing papers by Joseph Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995312
2 1989296
3 1968164
4 1990124
5 1995114
6 198463
7 198760
8 199258
9
Certification of polio eradication: process and lessons learned.
200458
10 199754
11 198948
12 198447
13 200844
14
Inflammatory response to clostridial vaccines in feedlot cattle.
199444
15 198742
16 199442
17 199442
18
IRON METABOLISM IN CAPTIVE BLACK (DICEROS BICORNIS) AND WHITE (CERATOTHERIUM SIMUM) RHINOCEROSES
199542
19 199137
20 198637

About Joseph Smith

Joseph Smith is a scholar working on Molecular Biology, Physiology, Hematology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 157 papers that have together received 2.9k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (31 papers), Pancreatic function and diabetes (14 papers), Neonatal Health and Biochemistry (12 papers), Iron Metabolism and Disorders (11 papers), Sulfur Compounds in Biology (10 papers), Mormonism, Religion, and History (9 papers), Blood properties and coagulation (9 papers) and Blood groups and transfusion (8 papers). The work is most often cited by research in Equine (130 citations), Hematology (454 citations), Small Animals (153 citations), Genetics (206 citations) and Cardiology and Cardiovascular Medicine (373 citations). Joseph Smith has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Kazuko Nishikura, Richard W. Wagner, Ernest Beutler, Patricia S. Chavey, Claramma K. Mathai, H. Lee Sweeney, Ronald A. Milligan, Elizabeth M. Wilson-Kubalek, Michael Whittaker and Gordon A. Andrews. Their work appears in journals such as American Journal of Veterinary Research, Journal of the American Veterinary Medical Association, Veterinary Pathology, Research in Veterinary Science and Blood.

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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