Nathan O’Connor

4.2k citations
29 papers · 3.2k indexed · 2 hit papers · h-index 16

Nathan O’Connor

27 papers receiving 3.1k citations

Hit Papers

The expression of the Hodgkin's disease associated antige...56819852026199820124008001.2k

Peers

Nathan O’Connor
Comparison fields: 5 of 124
  • Pathology and Forensic Medicine 1.7k
  • Dermatology 503
  • Genetics 524
  • Immunology 992
  • Oncology 935
Replace Jean Feuillard with:
Jean Feuillard France
Lynn Sorbara United States
Talal Al Saati France
Kirsten Grønbæk Denmark
Markku Kallajoki Finland
Reinhard von Wasielewski Germany
Pieter Demetter Belgium
William F. C. Rigby United States
Serhan Alkan United States
Thomas Longerich Germany
Nathan O’Connor relative to Jean Feuillard France Jean Feuillard's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nathan O’Connor

Since Specialization
Citations

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

Fields of papers citing papers by Nathan O’Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan O’Connor. 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 Nathan O’Connor. The network helps show where Nathan O’Connor may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20236
3 20233
4 201920
5 201815
6 201384
7 201131
8 201045
9 200860
10 2007214
11 200751
12 2006112
13 20012
14 200030
15 199812
16 19981
17 198910
18 198739
19
The expression of the Hodgkin's disease associated antigen Ki-1 in reactive and neoplastic lymphoid tissue: evidence that Reed-Sternberg cells and histiocytic malignancies are derived from activated lymphoid cellsbreakdown →
19851445
20
Turnover of erythrocyte protoporphyrin, with special reference to bovine porphyria and iron deficiency anemia.
19767

About Nathan O’Connor

Nathan O’Connor is a scholar working on Biophysics, Immunology and Genetics, having authored 29 papers that have together received 3.2k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (5 papers), Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Glaucoma and retinal disorders (3 papers), Mast cells and histamine (3 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.7k citations), Dermatology (503 citations) and Genetics (524 citations). Nathan O’Connor has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include James S. Wainscoat, Brunangelo Falini, H Stein, Hilmar Lemke, Gorm Pallesen, Johannes Gerdes, Roland Schwarting, K. Lennert, Georges Delsol and DY Mason. Their work appears in journals such as British Journal of Haematology, The Journal of Comparative Neurology, Blood, Journal of the American Academy of Dermatology and Clinical Infectious Diseases.

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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