Stevens Ce

45 papers receiving 1.6k citations

Peers

Stevens Ce
Comparison fields: 5 of 114
  • Equine 191
  • Hematology 377
  • Agronomy and Crop Science 343
  • Virology 115
  • Genetics 218
Replace J. J. Kaneko with:
J. J. Kaneko United States
Koichi Ohno Japan
Keith W. Prasse United States
T.S.G.A.M. van den Ingh Netherlands
John W. Harvey United States
Edward A. Mahaffey United States
David M. Getzy United States
Leslie C. Sharkey United States
Carol B. Grindem United States
K. V. F. Jubb United States
Stevens Ce relative to J. J. Kaneko United States J. J. Kaneko's profile →
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J. J. Kaneko · 1×
Citations per year

Countries citing papers authored by Stevens Ce

Since Specialization
Citations

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

Fields of papers citing papers by Stevens Ce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993326
2 1974198
3 1974164
4 1978107
5 197798
6 197285
7
The use of umbilical cord blood in mismatched related and unrelated hemopoietic stem cell transplantation.
199479
8 199067
9 196662
10 197261
11 201056
12
Pathogenesis of lead shot poisoning in the mallard duck.
197547
13 197540
14 196640
15 198737
16 199037
17
Baseline epidemiological studies for a hepatitis B vaccine trial in Kangwane.
198337
18 197127
19 199323
20 198623

About Stevens Ce

Stevens Ce is a scholar working on Agronomy and Crop Science, Epidemiology, Hematology, Animal Science and Zoology and Immunology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (10 papers), Hematopoietic Stem Cell Transplantation (8 papers), Hepatitis B Virus Studies (5 papers), T-cell and Retrovirus Studies (4 papers), Veterinary Equine Medical Research (4 papers), Polyomavirus and related diseases (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and Animal Nutrition and Physiology (3 papers). The work is most often cited by research in Equine (191 citations), Hematology (377 citations), Agronomy and Crop Science (343 citations), Virology (115 citations) and Genetics (218 citations). Stevens Ce has collaborated with scholars based in United States, Israel and France. Frequent co-authors include RA Argenzio, Mary Southworth, Pablo Rubinstein, JW Adamson, D. W. Pickard, W. Szmuness, Jules L. Dienstag, R H Purcell, P Rubinstein and P. E. Taylor. Their work appears in journals such as American Journal of Physiology-Legacy Content, Biology of Blood and Marrow Transplantation, International Journal of Gynecology & Obstetrics, Blood and Bone Marrow Transplantation.

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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