M. Untch

529 citations
16 papers · 57 · h-index 4

Impact in

    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • PARP inhibition in cancer therapy
    • Cancer Immunotherapy and Biomarkers
    • Breast Cancer Treatment Studies

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • HER2/EGFR in Cancer Research 3
    • Cancer Treatment and Pharmacology 2
    • Breast Cancer Treatment Studies 8

M. Untch

14 papers receiving 57 citations

Peers

M. Untch
Comparison fields: 5 of 18
  • Oncology 34
  • Cancer Research 12
  • Radiology, Nuclear Medicine and Imaging 13
  • Pulmonary and Respiratory Medicine 11
  • Obstetrics and Gynecology 2
Replace Álvaro Rodríguez Lescure with:
Álvaro Rodríguez Lescure Spain
F. Marmé Germany
R. Coleman United States
Victoria Attaya United States
Guanfu Cai China
Estefanía Monturus Spain
Anne Laure Martin France
Qilong Zhang China
M.J. Piccart-Gebhart Italy
Dennis Slamon United States
M. Untch relative to Álvaro Rodríguez Lescure Spain Álvaro Rodríguez Lescure's profile →
Citations per field
00.5×1.5×
Álvaro Rodríguez Lescure · 1×
Citations per year

Countries citing papers authored by M. Untch

Since Specialization
Citations

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

Fields of papers citing papers by M. Untch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202226
2 20225
3 20024
4 19994
5 20083
6 19933
7 20202
8 20222
9 20242
10 20042
11 20251
12 20221
13 19871
14 20221
15 19990
16 20250

About M. Untch

M. Untch is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 57 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (8 papers), Advanced Breast Cancer Therapies (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Treatment and Pharmacology (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Estrogen and related hormone effects (1 paper) and Urologic and reproductive health conditions (1 paper). The work is most often cited by research in Oncology (34 citations), Cancer Research (12 citations), Radiology, Nuclear Medicine and Imaging (13 citations), Pulmonary and Respiratory Medicine (11 citations) and Obstetrics and Gynecology (2 citations). M. Untch has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Peter A. Fasching, Claus Hanusch, Jens Huober, Jens‐Uwe Blohmer, Carsten Denkert, Christian Jackisch, Marija Balić, Björn Lampe, Steffen Kahlert and Julia Rey. Their work appears in journals such as Annals of Oncology, Breast Cancer Research, Acta Paediatrica, European Journal of Cancer and ESMO Open.

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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