Bernhard Volz

787 total citations
11 papers, 104 citations indexed

About

Bernhard Volz is a scholar working on Oncology, Cancer Research and Immunology. According to data from OpenAlex, Bernhard Volz has authored 11 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Bernhard Volz's work include Cancer Cells and Metastasis (3 papers), Breast Cancer Treatment Studies (3 papers) and Immunotherapy and Immune Responses (3 papers). Bernhard Volz is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Breast Cancer Treatment Studies (3 papers) and Immunotherapy and Immune Responses (3 papers). Bernhard Volz collaborates with scholars based in Germany, United States and Australia. Bernhard Volz's co-authors include Peter A. Fasching, Matthias W. Beckmann, Michael P. Lux, J. Dietl, Sebastian M. Jud, Paul Gaß, Lothar Häberle, M. Geppert, Alexander Hein and Ramona Erber and has published in prestigious journals such as Breast Cancer Research and Treatment, Breast Cancer Research and BMC Cancer.

In The Last Decade

Bernhard Volz

10 papers receiving 101 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bernhard Volz Germany 4 46 37 23 20 18 11 104
M Lenhard Germany 6 40 0.9× 23 0.6× 21 0.9× 5 0.3× 11 0.6× 16 103
Parmida Sadat Pezeshki Iran 7 58 1.3× 23 0.6× 34 1.5× 17 0.8× 6 0.3× 22 159
Elizabeth V. Connor United States 6 44 1.0× 55 1.5× 53 2.3× 21 1.1× 8 0.4× 12 156
Lisa Richters Germany 6 42 0.9× 37 1.0× 44 1.9× 8 0.4× 26 1.4× 13 129
Maria Giakoumopoulos United States 6 34 0.7× 21 0.6× 67 2.9× 28 1.4× 7 0.4× 11 133
Vydmantas Atkočius Lithuania 7 21 0.5× 12 0.3× 20 0.9× 20 1.0× 6 0.3× 20 128
E. Razis Greece 5 27 0.6× 11 0.3× 13 0.6× 24 1.2× 10 0.6× 20 76

Countries citing papers authored by Bernhard Volz

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Volz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernhard Volz

This figure shows the co-authorship network connecting the top 25 collaborators of Bernhard Volz. A scholar is included among the top collaborators of Bernhard Volz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bernhard Volz. Bernhard Volz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Huebner, Hanna, Chloë Goossens, Matthias Ruebner, et al.. (2025). A Digital Home-Based Health Care Center for Remote Monitoring of Side Effects During Breast Cancer Therapy: Prospective, Single-Arm, Monocentric Feasibility Study. JMIR Cancer. 11. e64083–e64083. 1 indexed citations
3.
Heindl, Felix, Paul Gaß, Lothar Häberle, et al.. (2023). RANK and RANKL Expression in Tumors of Patients with Early Breast Cancer. Geburtshilfe und Frauenheilkunde. 84(1). 77–85. 3 indexed citations
4.
Fasching, Peter A., Paul Gaß, Lothar Häberle, et al.. (2019). Prognostic effect of Ki-67 in common clinical subgroups of patients with HER2-negative, hormone receptor-positive early breast cancer. Breast Cancer Research and Treatment. 175(3). 617–625. 28 indexed citations
5.
Huebner, Hanna, Peter A. Fasching, W. Gumbrecht, et al.. (2018). Filtration based assessment of CTCs and CellSearch® based assessment are both powerful predictors of prognosis for metastatic breast cancer patients. BMC Cancer. 18(1). 204–204. 33 indexed citations
6.
Erber, Ramona, Arndt Hartmann, Matthias W. Beckmann, et al.. (2018). [TILGen study-immunological targets in patients with breast cancer : Influence of tumor-infiltrating lymphocytes].. PubMed. 39(Suppl 2). 236–240. 1 indexed citations
7.
Erber, Ramona, Arndt Hartmann, Matthias W. Beckmann, et al.. (2018). TILGen-Studie – Immunologische Angriffspunkte bei Patientinnen mit Brustkrebs. Der Pathologe. 39(S2). 236–240. 1 indexed citations
8.
Erber, Ramona, Arndt Hartmann, Matthias W. Beckmann, et al.. (2018). TILGen-Studie Immunologische Angriffspunkte bei Patientinnen mit Brustkrebs : Einfluss der tumorinfiltrierenden Lymphozyten.. 39(2). 236–240. 1 indexed citations
9.
Lenz, Bernd, Anna Eichler, Verena N. Buchholz, et al.. (2018). Mindfulness-based Stress Reduction in Pregnancy: an App-Based Programme to Improve the Health of Mothers and Children (MINDFUL/PMI Study). Geburtshilfe und Frauenheilkunde. 78(12). 1283–1291. 19 indexed citations
10.
Abendroth, Κ., et al.. (1999). [Interdisciplinary quality circle for osteoporosis. First results from the Regional Advisory Board for Osteoporosis for Saxony-Thuringia].. PubMed. 93(8). 605–11. 1 indexed citations
11.
Volz, Bernhard, et al.. (1997). A Multivariate Analysis of Clinical and Morphological Prognostic Factors in Squamous Cell Carcinoma of the Vulva. Gynecologic and Obstetric Investigation. 43(4). 261–267. 16 indexed citations

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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