Manuel Wiesinger

450 citations
13 papers · 363 · h-index 9

Impact in

  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3
    • CAR-T cell therapy research 5

Manuel Wiesinger

11 papers receiving 361 citations

Peers

Manuel Wiesinger
Comparison fields: 5 of 46
  • Oncology 221
  • Immunology 174
  • Genetics 84
  • Hepatology 15
  • Molecular Biology 94
Replace Zoya Alteber with:
Zoya Alteber Israel
Timothy T. Spear United States
Johan Chin-Kang Tay Singapore
Degui Geng United States
Roseanna M. Petrovic United States
Ronan Thibaut France
Nicholas J. Pumphrey United Kingdom
Belén Palencia Spain
Gretchen E. Lyons United States
Carlos Luri‐Rey Spain
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Citations per field
00.5×1.5×1.9×
Zoya Alteber · 1×
Citations per year

Countries citing papers authored by Manuel Wiesinger

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Wiesinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201872
2 202264
3 201354
4 201953
5 201448
6 201723
7 201815
8 201914
9 202114
10 20235
11 20231
12 20260
13 20240

About Manuel Wiesinger

Manuel Wiesinger is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Surgery, having authored 13 papers that have together received 363 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Virus-based gene therapy research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Oncology (221 citations), Immunology (174 citations), Genetics (84 citations), Hepatology (15 citations) and Molecular Biology (94 citations). Manuel Wiesinger has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Gerold Schuler, Beatrice Schuler‐Thurner, Jan Dörrie, Niels Schaft, Uğur Uslu, Mirko Kummer, Kilian Wistuba‐Hamprecht, Bianca Simon, Benjamin Weide and Michael Erdmann. Their work appears in journals such as Gut, Cancers, Cellular and Molecular Gastroenterology and Hepatology, Frontiers in Immunology and Cytotherapy.

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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