T C Farries

1.3k citations
19 papers · 1.0k indexed · h-index 14

Impact in

  • Immunology top 5%
    • Complement system in diseases
  • Hematology top 5%
    • Blood groups and transfusion
    • Platelet Disorders and Treatments
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

T C Farries

19 papers receiving 981 citations

Peers

T C Farries
Comparison fields: 5 of 82
  • Immunology 675
  • Hematology 291
  • Nephrology 74
  • Microbiology 54
  • Genetics 81
Replace Antonella Circolo with:
Antonella Circolo United States
Yasuo Fukumori Japan
Sylvie Hertig Switzerland
Véronique Rossi France
Tünde Hidvégi Hungary
SL Newman United States
D T Fearon United States
Mark G. Olavesen United Kingdom
Juha Hakulinen Finland
R H Carter United States
T C Farries relative to Antonella Circolo United States Antonella Circolo's profile →
Citations per field
00.5×1.6×
Antonella Circolo · 1×
Citations per year

Countries citing papers authored by T C Farries

Since Specialization
Citations

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

Fields of papers citing papers by T C Farries

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 19985
2 19973
3 1996375
4 1991100
5 199119
6 19915
7 199015
8 199019
9 199035
10 19894
11 198937
12 198920
13 198965
14 198813
15 198853
16 198824
17 1987131
18 198731
19 198750

About T C Farries

T C Farries is a scholar working on Immunology, Hematology, Radiology, Nuclear Medicine and Imaging, Physiology and Immunology and Allergy, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complement system in diseases (11 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Blood groups and transfusion (4 papers), Glycosylation and Glycoproteins Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Chemical Synthesis and Analysis (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Immunology (675 citations), Hematology (291 citations), Nephrology (74 citations), Microbiology (54 citations) and Genetics (81 citations). T C Farries has collaborated with scholars based in United States, United Kingdom and Tanzania. Frequent co-authors include John P. Atkinson, John Atkinson, Douglas M. Lublin, Isabelle Rooney, R. A. Harrison, P. J. Lachmann, Tsukasa Seya, Glen L. Hortin, J.T. Finch and M W Nickells. Their work appears in journals such as The Journal of Immunology, Biochemical Journal, European Journal of Biochemistry, Life Sciences and Xenotransplantation.

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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