Alexander Mustea

5.0k citations
146 papers · 3.2k · h-index 29

Impact in

Papers in

Alexander Mustea

139 papers receiving 3.1k citations

Peers

Alexander Mustea
Comparison fields: 5 of 130
  • Reproductive Medicine 838
  • Obstetrics and Gynecology 440
  • Cancer Research 837
  • Oncology 720
  • Immunology 478
Replace Nicolaì Maass with:
Nicolaì Maass Germany
Federica Tomao Italy
Henrik Alfthan Finland
Sadaf Ghaem‐Maghami United Kingdom
Ingo B. Runnebaum Germany
Reinhard Horvat Austria
Keqin Hua China
Jianliu Wang China
Austin Miller United States
Massimo Mascolo Italy
Alexander Mustea relative to Nicolaì Maass Germany Nicolaì Maass's profile →
Citations per field
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Nicolaì Maass · 1×
Citations per year

Countries citing papers authored by Alexander Mustea

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Mustea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007332
2 2009253
3 2008177
4 2016172
5 2005110
6 2009108
7 200786
8
Granulosa cell tumor of the ovary: 10 years follow-up data of 65 patients.
200482
9 200375
10 201164
11 200560
12 201757
13 201754
14
Expression of IL-10 in patients with ovarian carcinoma.
200654
15 202051
16 201149
17 201247
18 200744
19 202236
20 201435

About Alexander Mustea

Alexander Mustea is a scholar working on Reproductive Medicine, Molecular Biology, Surgery, Oncology and Obstetrics and Gynecology, having authored 146 papers that have together received 3.2k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (48 papers), Endometrial and Cervical Cancer Treatments (15 papers), Uterine Myomas and Treatments (13 papers), Intraperitoneal and Appendiceal Malignancies (12 papers), MicroRNA in disease regulation (11 papers), Renal cell carcinoma treatment (10 papers), Endometriosis Research and Treatment (9 papers) and Cancer-related molecular mechanisms research (9 papers). The work is most often cited by research in Reproductive Medicine (838 citations), Obstetrics and Gynecology (440 citations), Cancer Research (837 citations), Oncology (720 citations) and Immunology (478 citations). Alexander Mustea has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Jalid Sehouli, Dominique Koensgen, W. Lichtenegger, Dominique Könsgen, Sascha Keller, Peter Altevogt, Steffen Runz, Matthias B. Stope, Pengming Sun and Clemens Tempfer. Their work appears in journals such as Anticancer Research, Journal of Clinical Oncology, Archives of Gynecology and Obstetrics, Annals of Oncology and Gynecologic Oncology.

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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