Manfred Schuster

3.3k citations
35 papers · 2.5k indexed · h-index 23

Impact in

Papers in

Manfred Schuster

34 papers receiving 2.5k citations

Peers

Manfred Schuster
Comparison fields: 5 of 96
  • Cardiology and Cardiovascular Medicine 945
  • Endocrinology, Diabetes and Metabolism 537
  • Infectious Diseases 553
  • Pharmacology 307
  • Nephrology 109
Replace Seiya Kato with:
Seiya Kato Japan
Paul Hales United States
Marta Riera Spain
Joseph J. Boyle United Kingdom
Kai Kappert Germany
George L. Dale United States
Manxiang Li China
Chad Vickers United States
Duane A. Tewksbury United States
Alexander Muir United Kingdom
Manfred Schuster relative to Seiya Kato Japan Seiya Kato's profile →
Citations per field
00.5×4.8×
Seiya Kato · 1×
Citations per year

Countries citing papers authored by Manfred Schuster

Since Specialization
Citations

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

Fields of papers citing papers by Manfred Schuster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201680
2 201589
3 201430
4 20141
5 20131
6 2013272
7 201250
8 201225
9 201290
10 201227
11 201089
12 2009249
13 2009104
14 2009234
15 20082
16
Humoral immune response to linear EpCAM-peptides induced by the mimotope cancer vaccine IGN101: Assessment by two independent methods
20071
17 200760
18 200626
19 20064
20 2006129

About Manfred Schuster

Manfred Schuster is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Oncology, having authored 35 papers that have together received 2.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Renin-Angiotensin System Studies (10 papers), Hormonal Regulation and Hypertension (8 papers), Immunotherapy and Immune Responses (7 papers), Glycosylation and Glycoproteins Research (6 papers), CAR-T cell therapy research (4 papers), Apelin-related biomedical research (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (945 citations), Endocrinology, Diabetes and Metabolism (537 citations), Infectious Diseases (553 citations), Pharmacology (307 citations) and Nephrology (109 citations). Manfred Schuster has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Hans Loibner, Josef Penninger, Gavin Y. Oudit, Zamaneh Kassiri, Jiuchang Zhong, Ralf Kircheis, Ratnadeep Basu, Fung L. Chow, Danny Guo and Andreas Nechansky. Their work appears in journals such as Biotechnology Journal, Hypertension, Journal for ImmunoTherapy of Cancer, mAbs and Cancer Research.

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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