M. Medl

1.1k citations
36 papers · 867 indexed · h-index 20

Impact in

Papers in

M. Medl

33 papers receiving 828 citations

Peers

M. Medl
Comparison fields: 5 of 85
  • Reproductive Medicine 229
  • Obstetrics and Gynecology 202
  • Cancer Research 232
  • Pathology and Forensic Medicine 189
  • Radiology, Nuclear Medicine and Imaging 233
Replace Tomas Seidal with:
Tomas Seidal Sweden
Hui Guan China
Kook Lee South Korea
Noriyoshi Ishikawa Japan
Kate Downey United Kingdom
Mehmet Kefeli Türkiye
Makio Mukai Japan
Jerzy Jakubowicz Poland
Necmettin Özdemir Türkiye
Frédéric Kridelka Belgium
M. Medl relative to Tomas Seidal Sweden Tomas Seidal's profile →
Citations per field
00.5×3.8×
Tomas Seidal · 1×
Citations per year

Countries citing papers authored by M. Medl

Since Specialization
Citations

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

Fields of papers citing papers by M. Medl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201431
2 200510
3 200335
4 200298
5 200124
6 200031
7 200030
8 199936
9 199958
10 19981
11 199853
12 199714
13
Tumor-associated trypsin inhibitor (TATI) and cancer antigen 125 (CA125) in patients with epithelial ovarian cancer.
199614
14
Endometrial cancer after tamoxifen treatment: a descriptive study of 25 breast cancer patients who subsequently developed endometrial cancer.
19963
15 199518
16 199535
17 19940
18 199320
19 19931
20 199325

About M. Medl

M. Medl is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Cancer Research, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 36 papers that have together received 867 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (11 papers), Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (9 papers), Endometrial and Cervical Cancer Treatments (6 papers), Ultrasound Imaging and Elastography (3 papers), AI in cancer detection (3 papers), Estrogen and related hormone effects (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). The work is most often cited by research in Reproductive Medicine (229 citations), Obstetrics and Gynecology (202 citations), Cancer Research (232 citations), Pathology and Forensic Medicine (189 citations) and Radiology, Nuclear Medicine and Imaging (233 citations). M. Medl has collaborated with scholars based in Austria and Germany. Frequent co-authors include C Peters-Engl, Sepp Leodolter, P. Sevelda, H Czembirek, Sabine Huber, Monika Wagner, Andreas Obermair, Michael Vesely, E Ogris and N. Vavra. Their work appears in journals such as British Journal of Cancer, Breast Cancer Research and Treatment, Gynecologic Oncology, Journal of Ultrasound in Medicine and Ultrasound in Medicine & Biology.

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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