K.-D. Schulz

1.6k citations
78 papers · 1.3k · h-index 21

Impact in

Papers in

    • Estrogen and related hormone effects 14
    • Spider Taxonomy and Behavior Studies 5

K.-D. Schulz

68 papers receiving 1.2k citations

Peers

K.-D. Schulz
Comparison fields: 5 of 98
  • Reproductive Medicine 374
  • Endocrinology, Diabetes and Metabolism 231
  • Genetics 398
  • Obstetrics and Gynecology 86
  • Cancer Research 155
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Carol A. Brenner 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 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High affinity binding and direct antiproliferative effects of LHRH analogues in human ovarian cancer cell lines.
1993172
2 2002105
3 199675
4
Androgen sensitivity of the new human breast cancer cell line MFM-223.
199174
5 197873
6
A monograph of the colubrid snakes of the genus Elaphe Fitzinger
199667
7 199351
8 199350
9 199946
10
Amphibians and Reptiles of Peninsular Malaysia and Thailand. An Illustrated Checklist.
199943
11 197640
12 199240
13 200028
14 197527
15 198727
16 200024
17 199023
18 198822
19 200321
20 200420

About K.-D. Schulz

K.-D. Schulz is a scholar working on Genetics, Oncology, Molecular Biology, Reproductive Medicine and Endocrinology, Diabetes and Metabolism, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Breast Cancer Treatment Studies (7 papers), Growth Hormone and Insulin-like Growth Factors (7 papers), Hypothalamic control of reproductive hormones (6 papers), Amphibian and Reptile Biology (6 papers), Spider Taxonomy and Behavior Studies (5 papers), Ovarian function and disorders (5 papers) and Ovarian cancer diagnosis and treatment (4 papers). The work is most often cited by research in Reproductive Medicine (374 citations), Endocrinology, Diabetes and Metabolism (231 citations), Genetics (398 citations), Obstetrics and Gynecology (86 citations) and Cancer Research (155 citations). K.-D. Schulz has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Reinhard Hackenberg, Günter Emons, F. Hölzel, Walter Geiger, E. del Pozo, Ute‐Susann Albert, Olaf Ortmann, Peter Völker, Carsten Gründker and Andrew V. Schally. Their work appears in journals such as European Journal of Endocrinology, Archives of Gynecology and Obstetrics, The Journal of Steroid Biochemistry and Molecular Biology, Journal of Cancer Research and Clinical Oncology and American Journal of Obstetrics and Gynecology.

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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