J.P. Obrecht

674 citations
32 papers · 460 · h-index 12

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • Lung Cancer Research Studies

Papers in

    • Cancer Treatment and Pharmacology 5
    • Lung Cancer Research Studies 3
    • Immune Cell Function and Interaction 5
    • Immune Response and Inflammation 4
    • Immune cells in cancer 4

J.P. Obrecht

32 papers receiving 434 citations

Peers

J.P. Obrecht
Comparison fields: 5 of 69
  • Cancer Research 152
  • Oncology 175
  • Immunology 118
  • Pathology and Forensic Medicine 86
  • Hematology 36
Replace Rong‐Miao Zhou with:
Rong‐Miao Zhou China
Éva Pócsik Hungary
Wayne Borcherding United States
Y Okudaira Japan
Martine C. McManus United States
M. Paredes-Espinoza Mexico
Amy P. Schmidt United States
Constantinos Georganas United States
AG Dalgleish United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by J.P. Obrecht

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Obrecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.P. Obrecht. 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 J.P. Obrecht. The network helps show where J.P. Obrecht may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994115
2 199166
3 198347
4 199141
5 198225
6
Combination chemotherapy for non-small cell lung cancer with doxorubicin and mitomycin or cisplatin and etoposide.
198423
7 197416
8 199315
9 199114
10 199013
11 199211
12 197711
13 19979
14 19907
15 19887
16 19835
17 20085
18 19904
19 19823
20 19813

About J.P. Obrecht

J.P. Obrecht is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 32 papers that have together received 460 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (5 papers), Immune Cell Function and Interaction (5 papers), Breast Cancer Treatment Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Immune Response and Inflammation (4 papers), Immune cells in cancer (4 papers), Cancer therapeutics and mechanisms (3 papers) and Lung Cancer Research Studies (3 papers). The work is most often cited by research in Cancer Research (152 citations), Oncology (175 citations), Immunology (118 citations), Pathology and Forensic Medicine (86 citations) and Hematology (36 citations). J.P. Obrecht has collaborated with scholars based in Switzerland, Italy and Germany. Frequent co-authors include R. Obrist, W. F. Jungi, Christian Ludwig, R. Landmann, F. Cavalli, M. Castiglione, Markus Borner, F. Harder, Beat Thürlimann and Aron Goldhirsch. Their work appears in journals such as Journal of Clinical Oncology, Journal of Cellular Biochemistry, Pathobiology, Anesthesiology and Cancer Treatment Reviews.

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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