Peter Ruf

1.3k citations
30 papers · 998 indexed · h-index 15

Impact in

Papers in

Peter Ruf

30 papers receiving 951 citations

Peers

Peter Ruf
Comparison fields: 5 of 60
  • Oncology 609
  • Radiology, Nuclear Medicine and Imaging 513
  • Immunology 369
  • Reproductive Medicine 53
  • Biotechnology 47
Replace Kathrin Schwager with:
Kathrin Schwager Switzerland
E. Kutarska Poland
Mildred Felder United States
Sylvie Rusakiewicz France
G.L. Buraggi Italy
Joshua Z. Drago United States
M. I. Colnaghi Italy
Irene Venturo United States
Tetsuji Sawada Japan
Ritesh Rathore United States
Peter Ruf relative to Kathrin Schwager Switzerland Kathrin Schwager's profile →
Citations per field
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Kathrin Schwager · 1×
Citations per year

Countries citing papers authored by Peter Ruf

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ruf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001137
2 2010112
3 201188
4 200781
5 200979
6 200776
7 201065
8 201654
9 200853
10 200342
11 201237
12 200832
13 201224
14 201118
15 202116
16 201513
17 202113
18 201610
19 20138
20 20237

About Peter Ruf

Peter Ruf is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Immunology, Molecular Biology and Surgery, having authored 30 papers that have together received 998 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (22 papers), CAR-T cell therapy research (16 papers), Immunotherapy and Immune Responses (15 papers), Cancer Immunotherapy and Biomarkers (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), HER2/EGFR in Cancer Research (3 papers), Neuroblastoma Research and Treatments (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (609 citations), Radiology, Nuclear Medicine and Imaging (513 citations), Immunology (369 citations), Reproductive Medicine (53 citations) and Biotechnology (47 citations). Peter Ruf has collaborated with scholars based in Germany, Romania and United Kingdom. Frequent co-authors include Horst Lindhofer, Michael Jäger, Juergen Heß, A. Schoberth, Jürgen Hess, Matthias Plöscher, Ralph Mocikat, Nina Eißler, Marc C. Winslet and M. M. Heiss. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, British Journal of Cancer, Annals of Oncology and International Journal of Cancer.

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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