F. Bach

974 citations
26 papers · 670 · h-index 14

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research

Papers in

    • Glioma Diagnosis and Treatment 14
    • Colorectal Cancer Treatments and Studies 3
    • Pancreatic and Hepatic Oncology Research 3
    • Cancer Treatment and Pharmacology 2

F. Bach

24 papers receiving 641 citations

Peers

F. Bach
Comparison fields: 5 of 79
  • Genetics 275
  • Oncology 172
  • Neurology 76
  • Cancer Research 75
  • Pulmonary and Respiratory Medicine 91
Replace L. A. Hammond with:
L. A. Hammond United States
M Brampton United Kingdom
Paweł Robak Poland
Cédric Mercier France
Rob Pieters Netherlands
Bonny Johnson United States
Con Panousis Australia
Peter Drückes Switzerland
Jana Hof Germany
W ten Bokkel Huinink Netherlands
F. Bach relative to L. A. Hammond United States L. A. Hammond's profile →
Citations per field
00.5×2.8×
L. A. Hammond · 1×
Citations per year

Countries citing papers authored by F. Bach

Since Specialization
Citations

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

Fields of papers citing papers by F. Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 1952114
3 201359
4 201057
5 201250
6 201932
7 200828
8 200725
9 201217
10 201416
11 201314
12 200614
13 199113
14 200813
15 201012
16 195512
17 195710
18 20068
19 19554
20 20093

About F. Bach

F. Bach is a scholar working on Genetics, Oncology, Cancer Research, Neurology and Molecular Biology, having authored 26 papers that have together received 670 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Cancer, Hypoxia, and Metabolism (6 papers), Neuroblastoma Research and Treatments (5 papers), Colorectal Cancer Treatments and Studies (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Brain Metastases and Treatment (3 papers), Cancer Treatment and Pharmacology (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). The work is most often cited by research in Genetics (275 citations), Oncology (172 citations), Neurology (76 citations), Cancer Research (75 citations) and Pulmonary and Respiratory Medicine (91 citations). F. Bach has collaborated with scholars based in Germany, Italy and Cuba. Frequent co-authors include Manfred Westphal, Dirk Reuter, J. H. Williams, Sidney R. Kushner, U. Bode, Gudrun Fleischhack, Torsten Pietsch, Maura Massimino, Christian Senft and Oliver Heese. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Chemical Society, Neuro-Oncology, Journal of Neuro-Oncology and European Journal of Cancer.

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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