Anna S. Berghoff

14.7k total citations · 2 hit papers
292 papers, 7.4k citations indexed

About

Anna S. Berghoff is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Anna S. Berghoff has authored 292 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 167 papers in Oncology, 149 papers in Pulmonary and Respiratory Medicine and 87 papers in Genetics. Recurrent topics in Anna S. Berghoff's work include Brain Metastases and Treatment (124 papers), Glioma Diagnosis and Treatment (84 papers) and Lung Cancer Research Studies (62 papers). Anna S. Berghoff is often cited by papers focused on Brain Metastases and Treatment (124 papers), Glioma Diagnosis and Treatment (84 papers) and Lung Cancer Research Studies (62 papers). Anna S. Berghoff collaborates with scholars based in Austria, Germany and United States. Anna S. Berghoff's co-authors include Matthias Preusser, Georg Widhalm, Peter Birner, Rupert Bartsch, Karin Dieckmann, Christoph Zielinski, Johannes A. Hainfellner, Orsolya Rajky, Adelheid Wöhrer and Angelika M. Starzer and has published in prestigious journals such as Nature Genetics, Journal of Clinical Oncology and Blood.

In The Last Decade

Anna S. Berghoff

272 papers receiving 7.3k citations

Hit Papers

Programmed death ligand 1... 2014 2026 2018 2022 2014 2019 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anna S. Berghoff 3.8k 3.2k 2.2k 1.6k 975 292 7.4k
Serge Leyvraz 3.4k 0.9× 3.2k 1.0× 1.4k 0.7× 1.9k 1.2× 1.0k 1.0× 214 8.5k
Xiaobu Ye 2.6k 0.7× 1.4k 0.4× 2.3k 1.1× 1.3k 0.8× 1.2k 1.3× 151 6.8k
Manmeet S. Ahluwalia 3.8k 1.0× 4.4k 1.4× 4.6k 2.1× 1.9k 1.2× 1.4k 1.4× 398 9.6k
Karin Dieckmann 2.2k 0.6× 3.1k 1.0× 2.0k 0.9× 782 0.5× 411 0.4× 216 6.5k
Peter Birner 4.0k 1.1× 2.1k 0.7× 1.1k 0.5× 3.3k 2.1× 1.2k 1.2× 169 9.0k
Wei Qiao 2.7k 0.7× 1.3k 0.4× 931 0.4× 1.4k 0.9× 1.3k 1.3× 162 5.7k
Shouhao Zhou 4.5k 1.2× 1.3k 0.4× 1.1k 0.5× 1.1k 0.7× 918 0.9× 162 7.9k
Vittorina Zagonel 5.3k 1.4× 2.4k 0.8× 2.3k 1.0× 2.0k 1.3× 1.2k 1.2× 467 11.4k
Joohyuk Sohn 7.9k 2.1× 5.6k 1.7× 1.3k 0.6× 1.8k 1.2× 666 0.7× 303 10.9k
Maurizio Martini 1.9k 0.5× 1.1k 0.3× 1.3k 0.6× 2.3k 1.5× 614 0.6× 281 6.5k

Countries citing papers authored by Anna S. Berghoff

Since Specialization
Citations

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

Fields of papers citing papers by Anna S. Berghoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna S. Berghoff. 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 Anna S. Berghoff. The network helps show where Anna S. Berghoff may publish in the future.

Co-authorship network of co-authors of Anna S. Berghoff

This figure shows the co-authorship network connecting the top 25 collaborators of Anna S. Berghoff. A scholar is included among the top collaborators of Anna S. Berghoff 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 Anna S. Berghoff. Anna S. Berghoff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Berger, J.M., Erwin Tomasich, M. Korpan, et al.. (2024). 23P Non-small cell lung cancer DNA methylation profiles correlate with immune checkpoint inhibitor response. Immuno-Oncology Technology. 24. 100905–100905. 1 indexed citations
3.
Moik, Florian, Daniel Steiner, Angelika M. Starzer, et al.. (2024). Bleeding events in patients with cancer: incidence, risk factors, and impact on prognosis in a prospective cohort study. Blood. 144(22). 2349–2359. 12 indexed citations
4.
Berger, J.M., Matthias Preusser, Anna S. Berghoff, & Elisabeth Bergen. (2023). Malignant ascites: Current therapy options and treatment prospects. Cancer Treatment Reviews. 121. 102646–102646. 14 indexed citations
5.
Berger, J.M., Rainer Puhr, Bernhard Scheiner, et al.. (2023). Clinical risk factors for ascites in metastatic pancreatic cancer. ESMO Open. 8(2). 101200–101200. 5 indexed citations
6.
Steindl, Ariane, Arne Kienzle, Erwin Tomasich, et al.. (2023). 537P S100A9 serum levels are associated with survival prognosis in patients with brain metastases. Annals of Oncology. 34. S405–S405. 1 indexed citations
7.
Mair, Maximilian J., Rainer Puhr, Marlene Troch, et al.. (2023). Prophylactic treatment with oral azithromycin in cancer patients during the COVID-19 pandemic (OnCoVID): a randomized, single-blinded, placebo-controlled phase 2 trial. Infectious Agents and Cancer. 18(1). 9–9. 1 indexed citations
8.
Mair, Maximilian J., Rupert Bartsch, Émilie Le Rhun, et al.. (2023). Understanding the activity of antibody–drug conjugates in primary and secondary brain tumours. Nature Reviews Clinical Oncology. 20(6). 372–389. 45 indexed citations
9.
Tomasich, Erwin, Ariane Steindl, Rainer Puhr, et al.. (2023). Frequent Overexpression of HER3 in Brain Metastases from Breast and Lung Cancer. Clinical Cancer Research. 29(16). 3225–3236. 14 indexed citations
10.
Mair, Maximilian J., Gerwin Heller, Rainer Puhr, et al.. (2022). Early Postoperative Treatment versus Initial Observation in CNS WHO Grade 2 and 3 Oligodendroglioma: Clinical Outcomes and DNA Methylation Patterns. Clinical Cancer Research. 28(20). 4565–4573. 8 indexed citations
12.
Kiesel, Barbara, Lisa I. Wadiura, Mario Mischkulnig, et al.. (2021). Efficacy, Outcome, and Safety of Elderly Patients with Glioblastoma in the 5-ALA Era: Single Center Experience of More Than 10 Years. Cancers. 13(23). 6119–6119. 7 indexed citations
14.
Hosmann, Arthur, Matthias Millesi, Lisa I. Wadiura, et al.. (2021). 5-ALA Fluorescence Is a Powerful Prognostic Marker during Surgery of Low-Grade Gliomas (WHO Grade II)—Experience at Two Specialized Centers. Cancers. 13(11). 2540–2540. 28 indexed citations
15.
Rhun, Émilie Le, Patrick Devos, Johannes Weller, et al.. (2020). Prognostic validation and clinical implications of the EANO ESMO classification of leptomeningeal metastasis from solid tumors. Neuro-Oncology. 23(7). 1100–1112. 69 indexed citations
16.
Berghoff, Anna S., Angelika M. Starzer, Nicolás Ballarini, et al.. (2020). Hypothyroidism correlates with favourable survival prognosis in patients with brain metastatic cancer. European Journal of Cancer. 135. 150–158. 12 indexed citations
17.
Bergen, Elisabeth, Anna S. Berghoff, Margaretha Rudas, et al.. (2019). Continued Endocrine Therapy Is Associated with Improved Survival in Patients with Breast Cancer Brain Metastases. Clinical Cancer Research. 25(9). 2737–2744. 33 indexed citations
18.
Yang, Dian, Sarah K. Denny, Peyton Greenside, et al.. (2018). Intertumoral Heterogeneity in SCLC Is Influenced by the Cell Type of Origin. Cancer Discovery. 8(10). 1316–1331. 104 indexed citations
19.
Osswald, Matthias, Jonas Blaes, Yunxiang Liao, et al.. (2016). Impact of Blood–Brain Barrier Integrity on Tumor Growth and Therapy Response in Brain Metastases. Clinical Cancer Research. 22(24). 6078–6087. 88 indexed citations
20.
Berghoff, Anna S., Vyshak Alva Venur, Matthias Preusser, & Manmeet S. Ahluwalia. (2016). Immune Checkpoint Inhibitors in Brain Metastases: From Biology to Treatment. American Society of Clinical Oncology Educational Book. 35(36). e116–e122. 72 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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