Philip Went

6.5k citations
86 papers · 4.7k · 2 hit papers · h-index 30

Impact in

Papers in

Philip Went

84 papers receiving 4.6k citations

Philip Went's Hit Papers

Nuclear signalling by tumour-associated antigen EpCAM 2009 · 568 citations
5680+7+14Years since publication200400600

Peers

Philip Went
Comparison fields: 5 of 106
  • Oncology 2.0k
  • Pathology and Forensic Medicine 1.2k
  • Immunology 918
  • Cancer Research 520
  • Genetics 356
Replace Gunhild Mechtersheimer with:
Gunhild Mechtersheimer Germany
Marcello Gambacorta Italy
Klaus Beiske Norway
Harald Stein Germany
Karen Pulford United Kingdom
Gunilla Enblad Sweden
Ferdinand Hofstaedter Germany
Lydia Visser Netherlands
Günter Schlimok Germany
Wojciech Biernat Poland
Philip Went relative to Gunhild Mechtersheimer Germany Gunhild Mechtersheimer's profile →
Citations per field
00.5×1.5×
Gunhild Mechtersheimer · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Frequent EpCam protein expression in human carcinomas
Hit paper breakdown →
2004675
2
Nuclear signalling by tumour-associated antigen EpCAM
Hit paper breakdown →
2009568
3 2008321
4 2006316
5 2006275
6 2011232
7 2007212
8 2004206
9 2004175
10 2006170
11 2009101
12 200394
13 200978
14 200477
15 200577
16 200568
17 200967
18 200350
19 201050
20 200446

About Philip Went

Philip Went is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Pulmonary and Respiratory Medicine and Immunology, having authored 86 papers that have together received 4.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (33 papers), Chronic Lymphocytic Leukemia Research (10 papers), T-cell and Retrovirus Studies (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), HER2/EGFR in Cancer Research (5 papers), Gastrointestinal Tumor Research and Treatment (5 papers), Eosinophilic Disorders and Syndromes (5 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Oncology (2.0k citations), Pathology and Forensic Medicine (1.2k citations), Immunology (918 citations), Cancer Research (520 citations) and Genetics (356 citations). Philip Went has collaborated with scholars based in Switzerland, Italy and Austria. Frequent 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. Their work appears in journals such as Journal of Clinical Pathology, Human Pathology, Modern Pathology, Journal of Clinical Oncology and European Journal of Surgical Oncology.

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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