T. Volm

1.0k citations
13 papers · 804 · h-index 6

Impact in

    • Breast Cancer Treatment Studies
    • Carcinogens and Genotoxicity Assessment
    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • RNA Research and Splicing

Papers in

    • BRCA gene mutations in cancer 3
    • Estrogen and related hormone effects 1
    • Intraperitoneal and Appendiceal Malignancies 1

T. Volm

10 papers receiving 791 citations

Peers

T. Volm
Comparison fields: 5 of 73
  • Cancer Research 294
  • Molecular Biology 429
  • Oncology 113
  • Genetics 118
  • Plant Science 155
Replace Eisuke Gotoh with:
Eisuke Gotoh Japan
Diana Uribe United States
Aisling M. Redmond United Kingdom
Didier Marot France
Arthur Katoh United States
Takahiro Shiraishi Japan
Tzeh Keong Foo United States
Alkmini Kalousi Greece
Elena B. Kabotyanski United States
Manjula Agarwal United States
T. Volm relative to Eisuke Gotoh Japan Eisuke Gotoh's profile →
Citations per field
00.5×10×14.5×
Eisuke Gotoh · 1×
Citations per year

Countries citing papers authored by T. Volm

Since Specialization
Citations

This map shows the geographic impact of T. Volm'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 T. Volm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Volm more than expected).

Fields of papers citing papers by T. Volm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2001321
2 2003265
3
Induced micronucleus frequencies in peripheral lymphocytes as a screening test for carriers of a BRCA1 mutation in breast cancer families.
2000182
4
Long time therapy with topotecan in patients with recurrence of ovarian carcinoma.
200215
5 19987
6 20225
7 20034
8 20032
9 20062
10 20011
11 19990
12 20020
13 19990

About T. Volm

T. Volm is a scholar working on Genetics, Surgery, Molecular Biology, Oncology and Epidemiology, having authored 13 papers that have together received 804 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), DNA Repair Mechanisms (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Breast Cancer Treatment Studies (2 papers), Neutropenia and Cancer Infections (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Intraperitoneal and Appendiceal Malignancies (1 paper) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Cancer Research (294 citations), Molecular Biology (429 citations), Oncology (113 citations), Genetics (118 citations) and Plant Science (155 citations). T. Volm has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Johann von Hase, Christine Fischer, Marion Cremer, Thomas Cremer, Irina Solovei, Joachim Walter, Alessandro Brero, Gregor Kreth, Christoph Cremer and R. Kreienberg. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Radiology, Gynecologic Oncology, Chromosome Research and Current Oncology Reports.

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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