A S Whyte

1.4k citations
63 papers · 1.3k · h-index 18

Impact in

Papers in

A S Whyte

62 papers receiving 1.2k citations

Peers

A S Whyte
Comparison fields: 5 of 91
  • Immunology 532
  • Obstetrics and Gynecology 160
  • Immunology and Allergy 117
  • Agronomy and Crop Science 103
  • Radiology, Nuclear Medicine and Imaging 213
Replace Timothy A. Sato with:
Timothy A. Sato New Zealand
Radslav G. Kinsky France
David F. Eierman United States
M.N. Cauchi Australia
Michiko Watari Japan
K L Kaffka United States
Tateki Tsutsui Japan
Chau‐Ching Liu United States
K. E. Hopper Australia
Julie Crow United Kingdom
A S Whyte relative to Timothy A. Sato New Zealand Timothy A. Sato's profile →
Citations per field
00.5×2×2.9×
Timothy A. Sato · 1×
Citations per year

Countries citing papers authored by A S Whyte

Since Specialization
Citations

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

Fields of papers citing papers by A S Whyte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A S Whyte. 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 A S Whyte. The network helps show where A S Whyte may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991197
2
Biology of trophoblast
198382
3 199177
4 197772
5 198870
6 198164
7
Effect of pregnancy on collagen-induced arthritis in mice.
198754
8 199845
9
Antigens of the human trophoblast plasma membrane.
197943
10 198535
11 199634
12 197828
13 198027
14 198024
15 198422
16 197822
17 199419
18 199218
19 198918
20 198317

About A S Whyte

A S Whyte is a scholar working on Immunology and Allergy, Immunology, Agronomy and Crop Science, Obstetrics and Gynecology and Reproductive Medicine, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (15 papers), Reproductive System and Pregnancy (10 papers), Reproductive Physiology in Livestock (7 papers), Pregnancy and preeclampsia studies (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Neonatal Respiratory Health Research (5 papers), T-cell and B-cell Immunology (5 papers) and Pregnancy and Medication Impact (4 papers). The work is most often cited by research in Immunology (532 citations), Obstetrics and Gynecology (160 citations), Immunology and Allergy (117 citations), Agronomy and Crop Science (103 citations) and Radiology, Nuclear Medicine and Imaging (213 citations). A S Whyte has collaborated with scholars based in United Kingdom, Slovakia and Czechia. Frequent co-authors include Yung Wai Loke, Colin D. OCKLEFORD, Richard O. Williams, GILLIAN T. WAITES, G.A.W. Rook, RICHARD M. BINNS, R. Brian Heap, W.R. Twink Allen, Ragnar Mattsson and Rikard Holmdahl. Their work appears in journals such as Journal of Reproductive Immunology, Placenta, Journal of Comparative Pathology, Reproduction and Veterinary Immunology and Immunopathology.

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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