Lars Nitschke

6.4k citations
116 papers · 5.4k · h-index 41

Impact in

  • Immunology top 0.5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Galectins and Cancer Biology
    • Immune Response and Inflammation

Papers in

    • T-cell and B-cell Immunology 66
    • Immune Cell Function and Interaction 43
    • Galectins and Cancer Biology 23
    • Immunotherapy and Immune Responses 21
    • Immunodeficiency and Autoimmune Disorders 7
    • Monoclonal and Polyclonal Antibodies Research 24

Lars Nitschke

113 papers receiving 5.3k citations

Peers

Lars Nitschke
Comparison fields: 5 of 101
  • Immunology 3.8k
  • Immunology and Allergy 302
  • Radiology, Nuclear Medicine and Imaging 947
  • Molecular Biology 2.3k
  • Genetics 259
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Citations per field
00.5×2×4×6.7×
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Citations per year

Countries citing papers authored by Lars Nitschke

Since Specialization
Citations

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

Fields of papers citing papers by Lars Nitschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997390
2 2007220
3 2004174
4 2007172
5 2005164
6 2002159
7 2001150
8 2002123
9 2009123
10 2010120
11 1993118
12 1997118
13 2012111
14 2007109
15 2015109
16 2014106
17 2013100
18 1999100
19 201198
20 201594

About Lars Nitschke

Lars Nitschke is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Allergy and Genetics, having authored 116 papers that have together received 5.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (66 papers), Glycosylation and Glycoproteins Research (50 papers), Immune Cell Function and Interaction (43 papers), Monoclonal and Polyclonal Antibodies Research (24 papers), Galectins and Cancer Biology (23 papers), Immunotherapy and Immune Responses (21 papers), Cell Adhesion Molecules Research (11 papers) and Immunodeficiency and Autoimmune Disorders (7 papers). The work is most often cited by research in Immunology (3.8k citations), Immunology and Allergy (302 citations), Radiology, Nuclear Medicine and Imaging (947 citations), Molecular Biology (2.3k citations) and Genetics (259 citations). Lars Nitschke has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Marinus C. Lamers, Paul R. Crocker, Georges Köhler, Julia Jellusova, Jennifer Müller, Thomas H. Winkler, Rita Carsetti, Claus-Peter Danzer, Reinhard Brossmer and Thomas Wirth. Their work appears in journals such as The Journal of Immunology, European Journal of Immunology, Frontiers in Immunology, The Journal of Experimental Medicine and Nature 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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