W. Jonat

16.4k total citations · 3 hit papers
298 papers, 9.8k citations indexed

About

W. Jonat is a scholar working on Oncology, Cancer Research and Genetics. According to data from OpenAlex, W. Jonat has authored 298 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Oncology, 101 papers in Cancer Research and 93 papers in Genetics. Recurrent topics in W. Jonat's work include Estrogen and related hormone effects (73 papers), Breast Cancer Treatment Studies (72 papers) and Cancer Treatment and Pharmacology (38 papers). W. Jonat is often cited by papers focused on Estrogen and related hormone effects (73 papers), Breast Cancer Treatment Studies (72 papers) and Cancer Treatment and Pharmacology (38 papers). W. Jonat collaborates with scholars based in Germany, United States and United Kingdom. W. Jonat's co-authors include W. Eiermann, Manfred Kaufmann, Christoph Mundhenke, Anthony Howell, Nicolaì Maass, Carl Blomqvist, Michael Gnant, Gϋnter von Minckwitz, Liselotte Mettler and İbrahim Alkatout and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

W. Jonat

283 papers receiving 9.4k citations

Hit Papers

Switching of postmenopausal women with endocrine-responsi... 2005 2026 2012 2019 2005 2006 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Jonat Germany 48 4.7k 3.7k 3.3k 2.0k 1.7k 298 9.8k
Lynn C. Hartmann United States 59 4.9k 1.0× 4.4k 1.2× 3.9k 1.2× 3.2k 1.6× 1.2k 0.7× 203 13.0k
R. Kreienberg Germany 54 4.3k 0.9× 3.4k 0.9× 934 0.3× 2.1k 1.1× 1.3k 0.8× 434 10.6k
Peggy L. Porter United States 60 7.5k 1.6× 3.9k 1.1× 2.0k 0.6× 4.1k 2.1× 1.7k 1.0× 140 13.3k
Kunle Odunsi United States 60 7.2k 1.5× 2.1k 0.6× 978 0.3× 5.0k 2.5× 1.5k 0.8× 370 15.5k
Helena Earl United Kingdom 40 3.5k 0.7× 2.0k 0.6× 1.1k 0.3× 1.9k 1.0× 1.3k 0.7× 194 6.5k
Henrik Grönberg Sweden 57 2.6k 0.5× 2.5k 0.7× 2.0k 0.6× 3.2k 1.6× 5.2k 3.0× 263 11.6k
Christian Marth Austria 61 5.3k 1.1× 2.8k 0.8× 1.6k 0.5× 5.8k 2.9× 1.3k 0.8× 411 14.0k
Patrice Viens France 61 10.5k 2.2× 5.6k 1.5× 1.1k 0.3× 6.0k 3.0× 2.8k 1.6× 353 17.5k
J. Michael Dixon United Kingdom 54 4.1k 0.9× 5.3k 1.4× 2.6k 0.8× 2.5k 1.3× 1.4k 0.8× 270 10.8k
William T. Barry United States 47 4.3k 0.9× 2.4k 0.7× 967 0.3× 2.1k 1.1× 1.6k 0.9× 191 8.4k

Countries citing papers authored by W. Jonat

Since Specialization
Citations

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

Fields of papers citing papers by W. Jonat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Jonat

This figure shows the co-authorship network connecting the top 25 collaborators of W. Jonat. A scholar is included among the top collaborators of W. Jonat 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 W. Jonat. W. Jonat 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.
Schem, Christian, Dirk Bauerschlag, Frank Rösel, et al.. (2013). Preclinical evaluation of Sunitinib as a single agent in the prophylactic setting in a mouse model of bone metastases. BMC Cancer. 13(1). 32–32. 6 indexed citations
3.
Alkatout, İbrahim, Liselotte Mettler, Jürgen Hedderich, et al.. (2013). Combined Surgical and Hormone Therapy for Endometriosis is the Most Effective Treatment: Prospective, Randomized, Controlled Trial. Journal of Minimally Invasive Gynecology. 20(4). 473–481. 69 indexed citations
5.
Schüler, Martin, Ahmad Awada, Philipp Harter, et al.. (2012). A phase II trial to assess efficacy and safety of afatinib in extensively pretreated patients with HER2-negative metastatic breast cancer. Breast Cancer Research and Treatment. 134(3). 1149–1159. 71 indexed citations
6.
Wenners, Antonia, Keyur Mehta, Sibylle Loibl, et al.. (2012). Neutrophil Gelatinase-Associated Lipocalin (NGAL) Predicts Response to Neoadjuvant Chemotherapy and Clinical Outcome in Primary Human Breast Cancer. PLoS ONE. 7(10). e45826–e45826. 44 indexed citations
7.
Stemmler, Hans‐Joachim, Werner Freier, G. Gitsch, et al.. (2011). Randomised phase II trial of gemcitabine plus vinorelbine vs gemcitabine plus cisplatin vs gemcitabine plus capecitabine in patients with pretreated metastatic breast cancer. British Journal of Cancer. 104(7). 1071–1078. 29 indexed citations
9.
Stark, Andreas M., Christian Schem, Nicolaì Maass, et al.. (2009). Expression of metastasis suppressor gene maspin is reduced in breast cancer brain metastases and correlates with the estrogen receptor status. Neurological Research. 32(3). 303–308. 20 indexed citations
10.
Mundhenke, Christoph, Christian Schem, & W. Jonat. (2008). Adjuvant Endocrine Therapy in Early Postmenopausal Breast Cancer. Breast Care. 3(5). 317–324. 1 indexed citations
11.
Meinhold‐Heerlein, Ivo, Dirk Bauerschlag, Yingyao Zhou, et al.. (2007). An Integrated Clinical-Genomics Approach Identifies a Candidate Multi-Analyte Blood Test for Serous Ovarian Carcinoma. Clinical Cancer Research. 13(2). 458–466. 41 indexed citations
12.
Nagasaki, Koichi, Christian Schem, Constantin von Kaisenberg, et al.. (2003). Leucine‐zipper protein, LDOC1, inhibits NF‐κB activation and sensitizes pancreatic cancer cells to apoptosis. International Journal of Cancer. 105(4). 454–458. 67 indexed citations
13.
Jonat, W., et al.. (2003). Phase Ii study to define safety and efficacy of exemestane as preoperative therapy for postmenopausal patients with primary breast cancer -final results of the German Neoadjuvant Aromasin Initiative (genari). Breast Cancer Research and Treatment. 82. 17 indexed citations
14.
Ohike, Nobuyuki, Nicolaì Maass, Christoph Mundhenke, et al.. (2003). Clinicopathological significance and molecular regulation of maspin expression in ductal adenocarcinoma of the pancreas. Cancer Letters. 199(2). 193–200. 46 indexed citations
15.
Kaufmann, M., W. Jonat, R.W. Blarney, et al.. (2002). Updated survival results from the Zebra trial.. Breast Cancer Research and Treatment. 76. 2 indexed citations
16.
17.
Jonat, W., Anthony Howell, Carl Blomqvist, et al.. (1996). A randomised trial comparing two doses of the new selective aromatase inhibitor anastrozole (Arimidex) with megestrol acetate in postmenopausal patients with advanced breast cancer *. European Journal of Cancer. 32(3). 404–412. 207 indexed citations
18.
Jonat, W., M. Kaufmann, & Klaus Munk. (1995). Hormone-dependent tumors ; basic research and clinical studies. KARGER eBooks. 1 indexed citations
19.
Mertens, H. G. & W. Jonat. (1978). [Bilateral carcinoma of the breast after radiotherapy and chemotherapy for Hodgkin's disease (author's transl)].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(11). 968–70. 1 indexed citations
20.
Jonat, W. & Heinrich Maass. (1978). Some comments on the necessity of receptor determination in human breast cancer.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(11 Pt 2). 4305–6. 32 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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