F. Pazderka

1.3k citations
36 papers · 1.1k · h-index 15

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 4
    • Herpesvirus Infections and Treatments 5

F. Pazderka

36 papers receiving 1.0k citations

Peers

F. Pazderka
Comparison fields: 5 of 80
  • Transplantation 305
  • Immunology 354
  • Animal Science and Zoology 128
  • Microbiology 62
  • Nephrology 61
Replace Philip Padrid with:
Philip Padrid United States
Allison Ac United States
Caroline M. Lanigan United States
Angela Siegling Germany
J Bailly Canada
Phyllis‐Jean Linton United States
Timothy W. Phares United States
Ana Marie Landin United States
Thomas Simon France
Corinne Garcia France
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Citations per field
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Citations per year

Countries citing papers authored by F. Pazderka

Since Specialization
Citations

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

Fields of papers citing papers by F. Pazderka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F. Pazderka. 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 F. Pazderka. The network helps show where F. Pazderka may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996238
2 199597
3 197685
4 197583
5 199579
6 197569
7 199164
8
Polymorphism in an HLA linked proteasome gene influences phenotypic expression of disease in HLA-B27 positive individuals.
199440
9 199639
10 197736
11 198935
12 197733
13 197732
14
Genetic variability of HLA in the Dariusleut Hutterites. A comparative genetic analysis of the Hutterities, the Amish, and other selected Caucasian populations.
198019
15 199616
16 197514
17 198314
18 197513
19 199512
20 197312

About F. Pazderka

F. Pazderka is a scholar working on Immunology, Epidemiology, Molecular Biology, Transplantation and Surgery, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Herpesvirus Infections and Treatments (5 papers), Immunotherapy and Immune Responses (4 papers), Signaling Pathways in Disease (4 papers), Organ Transplantation Techniques and Outcomes (3 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Transplantation (305 citations), Immunology (354 citations), Animal Science and Zoology (128 citations), Microbiology (62 citations) and Nephrology (61 citations). F. Pazderka has collaborated with scholars based in Canada, United States and Vietnam. Frequent co-authors include Philip F. Halloran, R. F. Ruth, B. Michael Longenecker, Thomas D. Batiuk, Kiril Trpkov, Kim Solez, Sandra M. Cockfield, Patricia Campbell, Alan B. Douglass and J. S. Gavora. Their work appears in journals such as Immunogenetics, Transplantation, Cellular Immunology, Neurology and International Journal of Immunogenetics.

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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