Suzanne N. Lissenberg‐Thunnissen

1.7k citations
21 papers · 1.2k · h-index 15

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses
    • Complement system in diseases
    • Monoclonal and Polyclonal Antibodies Research

Papers in

Suzanne N. Lissenberg‐Thunnissen

21 papers receiving 1.2k citations

Peers

Suzanne N. Lissenberg‐Thunnissen
Comparison fields: 5 of 79
  • Immunology 532
  • Radiology, Nuclear Medicine and Imaging 494
  • Hematology 101
  • Molecular Biology 507
  • Genetics 62
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Citations per field
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Citations per year

Countries citing papers authored by Suzanne N. Lissenberg‐Thunnissen

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne N. Lissenberg‐Thunnissen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne N. Lissenberg‐Thunnissen. 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 Suzanne N. Lissenberg‐Thunnissen. The network helps show where Suzanne N. Lissenberg‐Thunnissen may publish in the future.

Co-authors

The 25 scholars most cited alongside Suzanne N. Lissenberg‐Thunnissen, 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 Suzanne N. Lissenberg‐Thunnissen Line = papers co-authored together Suzanne N. Lissenberg‐Thunnissen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017283
2 2011205
3 2017175
4 2020136
5 201984
6 201767
7 202152
8 201240
9 202037
10 201328
11 201227
12 202323
13 202020
14 201815
15 201414
16 201710
17 20198
18 20166
19 20225
20 20253

About Suzanne N. Lissenberg‐Thunnissen

Suzanne N. Lissenberg‐Thunnissen is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Hematology and Oncology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Glycosylation and Glycoproteins Research (8 papers), Blood groups and transfusion (6 papers), Protein purification and stability (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Complement system in diseases (3 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (532 citations), Radiology, Nuclear Medicine and Imaging (494 citations), Hematology (101 citations), Molecular Biology (507 citations) and Genetics (62 citations). Suzanne N. Lissenberg‐Thunnissen has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Gestur Vidarsson, Arthur E. H. Bentlage, Inger B. Schipper, Cornelis F.M. Sier, Theo Rispens, David J. J. de Gorter, Gillian Dekkers, Manfred Wuhrer, Heather L. Howie and Louise W. Treffers. Their work appears in journals such as Frontiers in Immunology, Transfusion, International Orthopaedics, The Journal of Immunology and ACS Chemical Biology.

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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