Birgit Sawitzki

18.0k citations
128 papers · 5.2k · h-index 37

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 0.5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 56
    • Immune Cell Function and Interaction 49
    • Immunotherapy and Immune Responses 29
    • Immune Response and Inflammation 7
    • Renal Transplantation Outcomes and Treatments 36

Birgit Sawitzki

125 papers receiving 5.2k citations

Peers

Birgit Sawitzki
Comparison fields: 5 of 121
  • Transplantation 905
  • Immunology 2.5k
  • Hematology 543
  • Developmental Neuroscience 142
  • Neurology 270
Replace Christiane Ferran with:
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Citations per field
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Citations per year

Countries citing papers authored by Birgit Sawitzki

Since Specialization
Citations

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

Fields of papers citing papers by Birgit Sawitzki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002391
2 2002350
3 2004270
4 2015259
5 2005251
6 2004166
7 2006163
8 2002154
9 2013153
10 2012127
11 2011119
12 2012103
13 201899
14 201596
15 201695
16 201388
17 201868
18 201368
19 201664
20 201563

About Birgit Sawitzki

Birgit Sawitzki is a scholar working on Immunology, Transplantation, Surgery, Epidemiology and Oncology, having authored 128 papers that have together received 5.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (56 papers), Immune Cell Function and Interaction (49 papers), Renal Transplantation Outcomes and Treatments (36 papers), Immunotherapy and Immune Responses (29 papers), Organ Transplantation Techniques and Outcomes (25 papers), Cytomegalovirus and herpesvirus research (16 papers), CAR-T cell therapy research (8 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Transplantation (905 citations), Immunology (2.5k citations), Hematology (543 citations), Developmental Neuroscience (142 citations) and Neurology (270 citations). Birgit Sawitzki has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Kathryn J. Wood, Hans‐Dieter Volk, Andreas Meisel, Dirk Megow, Karsten Ruscher, Josef Priller, Ulrich Dirnagl, Н. К. Исаев, Mahzuz Karim and Dorette Freyer. Their work appears in journals such as Transplantation, American Journal of Transplantation, The Journal of Immunology, Frontiers in Immunology and European Journal of Immunology.

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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