J. Dietl

8.2k citations
229 papers · 5.8k indexed · h-index 42

Impact in

Papers in

J. Dietl

218 papers receiving 5.6k citations

Peers

J. Dietl
Comparison fields: 5 of 135
  • Obstetrics and Gynecology 1.1k
  • Reproductive Medicine 1.2k
  • Immunology 2.4k
  • Cancer Research 825
  • Physiology 231
Replace Tsukasa Baba with:
Tsukasa Baba Japan
Armand Bensussan France
Ludwig Kiesel Germany
Takahide Mori Japan
Hidemichi Watari Japan
Ayesha B. Alvero United States
Any Cheung Hong Kong
Hannu Koistinen Finland
Masaki Mandai Japan
Yutaka Tomoda Japan
J. Dietl relative to Tsukasa Baba Japan Tsukasa Baba's profile →
Citations per field
00.5×3.3×
Tsukasa Baba · 1×
Citations per year

Countries citing papers authored by J. Dietl

Since Specialization
Citations

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

Fields of papers citing papers by J. Dietl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 201456
3 201313
4
PI3K inhibitor D-116883 is effective in in vitro models of ovarian cancer.
20127
5 20122
6
Prolonged clinical benefit from platinum-based chemotherapy in a patient with metastatic triple negative breast cancer.
20094
7 2009101
8 2008136
9
State of the art of neoadjuvant chemotherapy in breast cancer: rationale, results and recent developments
20054
10 200552
11 2004113
12 2003240
13 20024
14 20023
15
The correlation of c-erbB-2 oncoprotein and established prognostic factors in human breast cancer.
20017
16 199841
17
-Problems with autologous blood donation in gynecology and obstetrics-.
19960
18 199326
19 19902
20 19895

About J. Dietl

J. Dietl is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Immunology, Cancer Research and Public Health, Environmental and Occupational Health, having authored 229 papers that have together received 5.8k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (43 papers), Pregnancy and preeclampsia studies (22 papers), Ovarian cancer diagnosis and treatment (19 papers), Immune Cell Function and Interaction (18 papers), Reproductive Biology and Fertility (18 papers), Immunotherapy and Immune Responses (13 papers), Endometriosis Research and Treatment (11 papers) and Reproductive Physiology in Livestock (10 papers). The work is most often cited by research in Obstetrics and Gynecology (1.1k citations), Reproductive Medicine (1.2k citations), Immunology (2.4k citations), Cancer Research (825 citations) and Physiology (231 citations). J. Dietl has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ulrike Kämmerer, Michaela Kapp, A Hönig, Lorenz Rieger, Jörg Wischhusen, Sebastian Häusler, Marc Sütterlin, Peter Ruck, K. Marzusch and Mathias Krockenberger. Their work appears in journals such as Archives of Gynecology and Obstetrics, European Journal of Obstetrics & Gynecology and Reproductive Biology, Acta Obstetricia Et Gynecologica Scandinavica, American Journal of Reproductive Immunology and Gynecologic and Obstetric Investigation.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026