Philip Went

6.4k total citations · 2 hit papers
86 papers, 4.7k citations indexed

About

Philip Went is a scholar working on Pathology and Forensic Medicine, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Philip Went has authored 86 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pathology and Forensic Medicine, 36 papers in Oncology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Philip Went's work include Lymphoma Diagnosis and Treatment (36 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Viral-associated cancers and disorders (8 papers). Philip Went is often cited by papers focused on Lymphoma Diagnosis and Treatment (36 papers), Chronic Lymphocytic Leukemia Research (11 papers) and Viral-associated cancers and disorders (8 papers). Philip Went collaborates with scholars based in Switzerland, Italy and Austria. Philip Went's co-authors include Stephan Dirnhofer, Alexandar Tzankov, Stefano Pileri, Guido Sauter, Alessandro Lugli, Martina Mirlacher, Marcel Bundi, Patrick A. Baeuerle, Sandra Meier and S Dirnhofer and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Philip Went

83 papers receiving 4.6k citations

Hit Papers

Frequent EpCam protein expression in human carcinomas 2004 2026 2011 2018 2004 2009 200 400 600

Peers

Philip Went
Comparison fields: 5 of 109
  • Oncology 2.4k
  • Molecular Biology 1.5k
  • Pathology and Forensic Medicine 1.4k
  • Immunology 1.1k
  • Cancer Research 700
Replace Teresa Marafioti with:
Teresa Marafioti United Kingdom
Frederic I. Preffer United States
Sarah E. Coupland United Kingdom
Günter Schlimok Germany
Víctor Moreno Spain
John Gutheil United States
Brenda J. Weigel United States
Brandon Luber United States
Korinna Jöhrens Germany
Felipe Samaniego United States
Teresa Marafioti United Kingdom View profile →
Citations per field, relative to Philip Went
Philip Went · 1×
Citations per year, relative to Philip Went
Philip Went · 1×

Countries citing papers authored by Philip Went

Since Specialization
Citations

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

Fields of papers citing papers by Philip Went

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Went

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Went. A scholar is included among the top collaborators of Philip Went based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philip Went. Philip Went is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 3
3 19
4 26
5 50
6 3
7 212
8 4
9 34
10 3
11 1
12 7
13 34
14
Expressionsmuster und prognostische Bedeutung von CD24, p53 und p21 in Lymphomen: Eine Gewebe-Mikroarray-Studie an über 600 Non-Hodgkin-Lymphomen
1
15 46
16 11
17 12
18
Frequent EpCam protein expression in human carcinomas breakdown →
671
19 20
20 9

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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2026