H. Schmid

726 citations
35 papers · 438 · h-index 11

Impact in

Papers in

    • Cancer Treatment and Pharmacology 2
    • Breast Cancer Treatment Studies 5
    • Cancer Genomics and Diagnostics 3
    • Cancer, Lipids, and Metabolism 2

H. Schmid

33 papers receiving 412 citations

Peers

H. Schmid
Comparison fields: 5 of 62
  • Reproductive Medicine 98
  • Cancer Research 132
  • Oncology 126
  • Obstetrics and Gynecology 28
  • Pathology and Forensic Medicine 45
Replace K. Tatebe with:
K. Tatebe United States
Giada Munari Italy
Duo Liu China
Christoph Wiesner Germany
Michel Préfontaine Canada
J. C. Murray United Kingdom
LW Turnbull United Kingdom
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Ernst de Bruijn Belgium
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Citations per field
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Citations per year

Countries citing papers authored by H. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by H. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994120
2 198977
3 198944
4 199741
5 196322
6 199014
7
Psammomabody content and DNA-flow cytometric results as prognostic factors in advanced ovarian carcinoma.
198813
8 199012
9 199512
10 196811
11 196710
12 19947
13 19885
14 19885
15 19854
16 19874
17 20093
18 20013
19 20113
20 19743

About H. Schmid

H. Schmid is a scholar working on Oncology, Cancer Research, Reproductive Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 438 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (7 papers), Breast Cancer Treatment Studies (5 papers), Estrogen and related hormone effects (4 papers), Cancer Genomics and Diagnostics (3 papers), Plasma Diagnostics and Applications (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Cancer Treatment and Pharmacology (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Reproductive Medicine (98 citations), Cancer Research (132 citations), Oncology (126 citations), Obstetrics and Gynecology (28 citations) and Pathology and Forensic Medicine (45 citations). H. Schmid has collaborated with scholars based in Germany. Frequent co-authors include M. Kaufmann, G. Bastert, H. Junkermann, Hans‐Peter Sinn, Jens Huober, W. Scholz, H. Weigmann, W Kühn, G. Feichter and Dirk Heberling. Their work appears in journals such as International Journal of Gynecological Cancer, Archives of Gynecology and Obstetrics, The European Physical Journal A, Journal of Clinical 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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