Felix Bachmann

2.2k citations
60 papers · 1.7k · h-index 18

Impact in

Papers in

    • Cancer Treatment and Pharmacology 14
    • Cancer-related Molecular Pathways 8
    • Fibroblast Growth Factor Research 6
    • Cell death mechanisms and regulation 5

Felix Bachmann

56 papers receiving 1.7k citations

Peers

Felix Bachmann
Comparison fields: 5 of 110
  • Immunology and Allergy 185
  • Internal Medicine 63
  • Cancer Research 206
  • Genetics 138
  • Oncology 341
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Citations per field
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Citations per year

Countries citing papers authored by Felix Bachmann

Since Specialization
Citations

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

Fields of papers citing papers by Felix Bachmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995315
2 2014240
3
Clopidogrel loading dose regimens: kinetic profile of pharmacodynamic response in healthy subjects.
1999193
4 2002115
5 2018102
6
Mutational hot spots within the carboxy terminal region of the LMP1 oncogene of Epstein-Barr virus are frequent in lymphoproliferative disorders.
199573
7 199870
8
Cloning of a novel protein overexpressed in human mammary carcinoma.
199763
9 200154
10 200453
11 200153
12 201443
13
Overexpression of p150, a part of the large subunit of the eukaryotic translation initiation factor 3, in colon cancer.
201038
14 200231
15 200226
16 201224
17 201621
18 199620
19 202115
20 200212

About Felix Bachmann

Felix Bachmann is a scholar working on Oncology, Molecular Biology, Cell Biology, Genetics and Biotechnology, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (23 papers), Cancer Treatment and Pharmacology (14 papers), Glioma Diagnosis and Treatment (12 papers), Cancer Research and Treatments (11 papers), Cancer-related Molecular Pathways (8 papers), Cancer, Hypoxia, and Metabolism (6 papers), Fibroblast Growth Factor Research (6 papers) and Cell death mechanisms and regulation (5 papers). The work is most often cited by research in Immunology and Allergy (185 citations), Internal Medicine (63 citations), Cancer Research (206 citations), Genetics (138 citations) and Oncology (341 citations). Felix Bachmann has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Heidi A. Lane, Luca Piali, P. Hammel, Dominique Dunon, Beat A. Imhof, Roland H. Gisler, Christoph Uherek, Max M. Burger, Bernard Geudelin and Milos Savcic. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Molecular Cancer Therapeutics, Annals of Oncology and Journal of Investigative Dermatology.

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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