Marcin Okrój

1.9k citations
62 papers · 1.4k · h-index 23

Impact in

  • Immunology top 5%
    • Complement system in diseases
    • Immune Cell Function and Interaction
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies

Papers in

Marcin Okrój

60 papers receiving 1.4k citations

Peers

Marcin Okrój
Comparison fields: 5 of 91
  • Immunology 721
  • Nephrology 174
  • Microbiology 150
  • Hematology 185
  • Periodontics 48
Replace Partha S. Biswas with:
Partha S. Biswas United States
Maria C. Faber‐Krol Netherlands
Mieke C. Brouwer Netherlands
Tina Hummelshøj Denmark
P F Weller United States
T A Gaither United States
Friederike Hug Germany
Harini Bagavant United States
Andreas M. Hohlbaum United States
Björn Frendéus Sweden
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Citations per field
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Partha S. Biswas · 1×
Citations per year

Countries citing papers authored by Marcin Okrój

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Okrój

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007143
2 200391
3 201679
4 200873
5 201669
6 200767
7 201255
8 201954
9 201647
10 201741
11 200640
12 200639
13 201239
14 201436
15 201736
16 201635
17 200934
18 201329
19 201527
20 201527

About Marcin Okrój

Marcin Okrój is a scholar working on Immunology, Hematology, Molecular Biology, Nephrology and Genetics, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Complement system in diseases (38 papers), Blood groups and transfusion (12 papers), Renal Diseases and Glomerulopathies (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Antimicrobial Peptides and Activities (4 papers), Cytomegalovirus and herpesvirus research (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Immunology (721 citations), Nephrology (174 citations), Microbiology (150 citations), Hematology (185 citations) and Periodontics (48 citations). Marcin Okrój has collaborated with scholars based in Poland, Sweden and Spain. Frequent co-authors include Anna M. Blom, Wojciech Kamysz, Dick Heinegård, Rikard Holmdahl, Jerzy Łukasiak, Anders Österborg, Tore Saxne, Rubén Pı́o, Karin Jirström and Daniel Ajona. Their work appears in journals such as Frontiers in Immunology, Molecular Immunology, PLoS ONE, Cancer Immunology Immunotherapy and Arthritis Research & Therapy.

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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