Philip Hepp

1.9k citations
41 papers · 1.2k · 1 hit paper · h-index 16

Impact in

    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies
  • Oncology top 5%
    • Cancer Cells and Metastasis
    • Cancer Risks and Factors

Papers in

    • Cancer Risks and Factors 5
    • Cancer Cells and Metastasis 4
    • Cancer Treatment and Pharmacology 2
    • Breast Cancer Treatment Studies 7
    • Cancer Genomics and Diagnostics 3

Philip Hepp

39 papers receiving 1.2k citations

Philip Hepp's Hit Papers

Circulating Tumor Cells Predict Survival in Early Average-to-High Risk Breast Cancer Patients 2014 · 475 citations
4750+4+8Years since publication100200300400

Peers

Philip Hepp
Comparison fields: 5 of 98
  • Cancer Research 344
  • Oncology 542
  • Obstetrics and Gynecology 94
  • Social Psychology 141
  • Cognitive Neuroscience 94
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Philip Hepp relative to Sheryl Green United States Sheryl Green's profile →
Citations per field
00.5×4.9×
Sheryl Green · 1×
Citations per year

Countries citing papers authored by Philip Hepp

Since Specialization
Citations

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

Fields of papers citing papers by Philip Hepp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Circulating Tumor Cells Predict Survival in Early Average-to-High Risk Breast Cancer Patients
Hit paper breakdown →
2014475
2 200968
3 201863
4 202059
5 201057
6 202146
7 201043
8 201140
9 201639
10 201537
11 201728
12 201925
13 200119
14 202119
15
Prevalence of CA 27.29 in primary breast cancer patients before the start of systemic treatment.
201017
16 201915
17 202013
18 201613
19 202113
20 201912

About Philip Hepp

Philip Hepp is a scholar working on Oncology, Cancer Research, Social Psychology, Obstetrics and Gynecology and Surgery, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Music Therapy and Health (9 papers), Breast Cancer Treatment Studies (7 papers), Cancer Risks and Factors (5 papers), Cancer Cells and Metastasis (4 papers), Cancer Genomics and Diagnostics (3 papers), Endometriosis Research and Treatment (2 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Cancer Research (344 citations), Oncology (542 citations), Obstetrics and Gynecology (94 citations), Social Psychology (141 citations) and Cognitive Neuroscience (94 citations). Philip Hepp has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Tanja Fehm, Wolfgang Janni, Nora K. Schaal, Brigitte Rack, Ulrich Andergassen, Klaus Friese, Christian Schindlbeck, W. Lichtenegger, Matthias W. Beckmann and Carsten Hagenbeck. Their work appears in journals such as Archives of Gynecology and Obstetrics, BMC Pregnancy and Childbirth, Journal of Clinical Oncology, Scientific Reports 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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