S. D. Abbot

1.1k citations
14 papers · 986 · h-index 11

Impact in

Papers in

S. D. Abbot

14 papers receiving 921 citations

Peers

S. D. Abbot
Comparison fields: 5 of 64
  • Immunology 503
  • Pathology and Forensic Medicine 206
  • Oncology 296
  • Immunology and Allergy 58
  • Reproductive Medicine 66
Replace Anthony Warford with:
Anthony Warford United Kingdom
Ricciarda Galandrini Italy
Juanita Campos-Torres United States
Chainarong Tunyaplin United States
Qinglin Ou United States
W J Boersma Netherlands
Jagan M.R. Pongubala United States
S. Schwarz United States
D Mathieu-Mahul France
Alar Aints Sweden
S. D. Abbot relative to Anthony Warford United Kingdom Anthony Warford's profile →
Citations per field
00.5×2.7×
Anthony Warford · 1×
Citations per year

Countries citing papers authored by S. D. Abbot

Since Specialization
Citations

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

Fields of papers citing papers by S. D. Abbot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1991402
2 1991238
3 1990174
4
Normal and neoplastic human plasma cells express bcl-2 antigen.
199140
5
Castration increases luteinizing hormone subunit messenger RNA levels in male rat pituitaries.
198523
6 198822
7 199319
8 198617
9 198816
10 199412
11 199011
12 19866
13 19883
14 19863

About S. D. Abbot

S. D. Abbot is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Pathology and Forensic Medicine, Genetics and Immunology, having authored 14 papers that have together received 986 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Hypothalamic control of reproductive hormones (3 papers), Ovarian function and disorders (3 papers), Immunotherapy and Immune Responses (3 papers), Lymphoma Diagnosis and Treatment (3 papers), T-cell and B-cell Immunology (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Immunology (503 citations), Pathology and Forensic Medicine (206 citations), Oncology (296 citations), Immunology and Allergy (58 citations) and Reproductive Medicine (66 citations). S. D. Abbot has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include John Gordon, Ian C. M. MacLennan, Christopher D. Gregory, Gerald D. Johnson, David Y. Mason, Deborah Hardie, Yong‐Jun Liu, Michelle J. Holder, Yongjun Liu and Jennifer Cairns. Their work appears in journals such as Journal of Molecular Endocrinology, European Journal of Immunology, Journal of Virology, International Immunology and International Journal of Cancer.

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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