T.J. Cobain

1.3k citations
19 papers · 999 indexed · h-index 13

Impact in

Papers in

T.J. Cobain

18 papers receiving 945 citations

Peers

T.J. Cobain
Comparison fields: 5 of 75
  • Hepatology 477
  • Biochemistry 112
  • Epidemiology 520
  • Management of Technology and Innovation 98
  • Hematology 111
Replace Hans Vrielink with:
Hans Vrielink Netherlands
Emer Lawlor Ireland
Shigeharu Uchida Japan
P.L. Yap United Kingdom
F. Ala Iran
A. R. Bird South Africa
George Kuo United States
Magdalena Łętowska Poland
Markus B. Funk Germany
H. H. Gunson Nigeria
T.J. Cobain relative to Hans Vrielink Netherlands Hans Vrielink's profile →
Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by T.J. Cobain

Since Specialization
Citations

This map shows the geographic impact of T.J. Cobain'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 T.J. Cobain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Cobain more than expected).

Fields of papers citing papers by T.J. Cobain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.J. Cobain. 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 T.J. Cobain. The network helps show where T.J. Cobain may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Geographical distribution of hepatitis C virus genotypes in blood donors
20160
2 2007120
3 200532
4 200412
5 200264
6
IgG2 associated hypergammaglobulinaemia in some Nigerians with HIV infection.
19944
7 1994443
8 199324
9 199346
10 199059
11 198831
12 198822
13 19882
14 19883
15
The immunological detection of a 21-OH deficiency mutation HLA supratype.
19863
16 198565
17 198511
18 198333
19 198025

About T.J. Cobain

T.J. Cobain is a scholar working on Management of Technology and Innovation, Immunology, Hepatology, Transplantation and Biochemistry, having authored 19 papers that have together received 999 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (5 papers), Hepatitis B Virus Studies (3 papers), Hepatitis C virus research (3 papers), Blood donation and transfusion practices (3 papers), Platelet Disorders and Treatments (2 papers), Blood transfusion and management (2 papers), Complement system in diseases (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Hepatology (477 citations), Biochemistry (112 citations), Epidemiology (520 citations), Management of Technology and Innovation (98 citations) and Hematology (111 citations). T.J. Cobain has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Clive R. Seed, A. J. Keller, Roger L. Dawkins, E. A. C. Follett, Tom Krusius, F. McOmish, Elina Kolho, P.L. Yap, R. Naukkarinen and B. C. Dow. Their work appears in journals such as Transfusion, Annals of the New York Academy of Sciences, British Journal of Haematology, Journal of Clinical Microbiology and The Journal of Experimental Medicine.

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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