K.‐D. Schulz

26 papers receiving 457 citations

Peers

K.‐D. Schulz
Comparison fields: 5 of 68
  • Reproductive Medicine 222
  • Obstetrics and Gynecology 41
  • Endocrinology, Diabetes and Metabolism 86
  • Genetics 127
  • Cancer Research 61
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Benoit Destenaves United Kingdom
I Rzepka-Górska Poland
Lu Luo China
Monica Taborelli Italy
A. Norgren Sweden
Shumpei Matsuura Japan
Manuel Vadillo-Buenfil Mexico
Kristiina Aittomäki Finland
Alireza Heravi‐Moussavi Canada
Josephine Addai United States
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Citations per field
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Citations per year

Countries citing papers authored by K.‐D. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by K.‐D. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.‐D. Schulz. 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 K.‐D. Schulz. The network helps show where K.‐D. Schulz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993174
2
Expression of the messenger RNAs for luteinizing hormone-releasing hormone (LHRH) and its receptor in human ovarian epithelial carcinoma.
199595
3 200340
4 199229
5 199428
6 200320
7 199118
8
Non-palpable breast lesions in asymptomatic women: diagnostic value of initial ultrasonography and comparison with mammography.
200614
9
On the impact of hypertension on the prognosis of NIDDM. Results of the Schwabing GP-Program.
19899
10 19906
11 20025
12 20074
13 20034
14 19994
15 20153
16 20212
17 19892
18 20022
19 19972
20 20022

About K.‐D. Schulz

K.‐D. Schulz is a scholar working on Oncology, Cancer Research, Surgery, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 30 papers that have together received 473 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Global Cancer Incidence and Screening (4 papers), Health and Medical Studies (3 papers), Estrogen and related hormone effects (3 papers), Bone health and treatments (3 papers), Clinical practice guidelines implementation (2 papers), Bone health and osteoporosis research (2 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Reproductive Medicine (222 citations), Obstetrics and Gynecology (41 citations), Endocrinology, Diabetes and Metabolism (86 citations), Genetics (127 citations) and Cancer Research (61 citations). K.‐D. Schulz has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Olaf Ortmann, Günter Emons, Andrew V. Schally, Stephanie Sander Westphalen, Bernd Schröder, Sham S. Kakar, Ute‐Susann Albert, Rolf Müller, Jimmy D. Neill and Claudia Bürger. Their work appears in journals such as Journal of Thoracic Oncology, European Journal of Obstetrics & Gynecology and Reproductive Biology, The Journal of Clinical Endocrinology & Metabolism, Cells and Acta Obstetricia Et Gynecologica Scandinavica.

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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