K. Klinga

1.2k total citations
54 papers, 843 citations indexed

About

K. Klinga is a scholar working on Genetics, Reproductive Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, K. Klinga has authored 54 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 13 papers in Reproductive Medicine and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in K. Klinga's work include Estrogen and related hormone effects (17 papers), Ovarian function and disorders (8 papers) and HER2/EGFR in Cancer Research (7 papers). K. Klinga is often cited by papers focused on Estrogen and related hormone effects (17 papers), Ovarian function and disorders (8 papers) and HER2/EGFR in Cancer Research (7 papers). K. Klinga collaborates with scholars based in Germany, Hungary and United States. K. Klinga's co-authors include B. Runnebaum, W. Eggert‐Kruse, I. Gerhard, M. Kaufmann, Tamara Becker, F. Kubli, Peter Parzer, Franz Resch, Christoph Mundt and Niels Bergemann and has published in prestigious journals such as American Journal of Obstetrics and Gynecology, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

K. Klinga

51 papers receiving 788 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K. Klinga Germany 17 240 235 234 161 151 54 843
H. G. Kwa Netherlands 19 131 0.5× 474 2.0× 303 1.3× 332 2.1× 95 0.6× 53 1.0k
Miklós Koppán Hungary 22 410 1.7× 207 0.9× 120 0.5× 172 1.1× 162 1.1× 49 1.1k
Herbert Kühl Germany 20 348 1.4× 427 1.8× 275 1.2× 76 0.5× 454 3.0× 54 1.2k
A.M. Cathiard France 15 417 1.7× 410 1.7× 382 1.6× 141 0.9× 109 0.7× 21 1.4k
Jeffrey C. Webster United States 12 117 0.5× 352 1.5× 451 1.9× 146 0.9× 83 0.5× 14 1.2k
H. G. Bohnet Germany 19 484 2.0× 671 2.9× 269 1.1× 90 0.6× 180 1.2× 58 1.4k
Ralph Telgmann Germany 16 271 1.1× 207 0.9× 249 1.1× 99 0.6× 198 1.3× 30 1.2k
S. S. LYNCH United Kingdom 20 305 1.3× 277 1.2× 115 0.5× 47 0.3× 167 1.1× 43 761
Noriaki Eguchi Japan 16 123 0.5× 65 0.3× 107 0.5× 215 1.3× 79 0.5× 30 949
Rüdiger Schultz Finland 14 203 0.8× 103 0.4× 103 0.4× 49 0.3× 88 0.6× 22 777

Countries citing papers authored by K. Klinga

Since Specialization
Citations

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

Fields of papers citing papers by K. Klinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Klinga

This figure shows the co-authorship network connecting the top 25 collaborators of K. Klinga. A scholar is included among the top collaborators of K. Klinga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with K. Klinga. K. Klinga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Urbancsek, János, Erik Hauzman, K. Klinga, et al.. (2005). Use of serum inhibin B levels at the start of ovarian stimulation and at oocyte pickup in the prediction of assisted reproduction treatment outcome. Fertility and Sterility. 83(2). 341–348. 12 indexed citations
2.
Bergemann, Niels, Christoph Mundt, Peter Parzer, et al.. (2004). Plasma concentrations of estradiol in women suffering from schizophrenia treated with conventional versus atypical antipsychotics. Schizophrenia Research. 73(2-3). 357–366. 79 indexed citations
3.
Costa, S. D., Simon de Lange, K. Klinga, E. Merkle, & M. Kaufmann. (2002). Factors influencing the prognostic role of oestrogen and progesterone receptor levels in breast cancer—results of the analysis of 670 patients with 11 years of follow-up. European Journal of Cancer. 38(10). 1329–1334. 46 indexed citations
4.
Schmitt, Martina, K. Klinga, Bernd Schnarr, Robert Morfin, & Doris Mayer. (2001). Dehydroepiandrosterone stimulates proliferation and gene expression in MCF-7 cells after conversion to estradiol. Molecular and Cellular Endocrinology. 173(1-2). 1–13. 41 indexed citations
5.
Eggert‐Kruse, W., G. Rohr, Traute Demirakça, et al.. (1996). The Acridine Orange test: a clinically relevant screening method for sperm quality during infertility investigation?. Human Reproduction. 11(4). 784–789. 27 indexed citations
6.
Eggert‐Kruse, W., et al.. (1994). Hormonprofile bei hochbetagten Frauen und potentielle Einflußfaktoren*. Geburtshilfe und Frauenheilkunde. 54(6). 321–331. 3 indexed citations
7.
Eggert‐Kruse, W., et al.. (1993). Evaluation of polyacrylamide gel as substitute for human cervical mucus in the sperm penetration test. Fertility and Sterility. 60(3). 540–549. 13 indexed citations
8.
Urbancsek, János, T. Rabe, Klaus Grunwald, et al.. (1992). Serum inhibin levels in gonadotrophin stimulated in-vitro fertilization/gamete intra-Fallopian transfer cycles. Human Reproduction. 7(9). 1195–1200. 2 indexed citations
9.
Zhu, Pingting, et al.. (1992). Influence of reducing luxury calories in the treatment of experimental mammary carcinoma. British Journal of Cancer. 65(6). 845–851. 16 indexed citations
10.
Thijssen, Job H. J., W. G. Wood, Asa Kessler, et al.. (1991). Multicenter evaluation of new enzyme-linked immunoassays of follitropin and lutropin in serum or plasma. Clinical Chemistry. 37(7). 1257–1263. 10 indexed citations
11.
Gerhard, I., et al.. (1991). Thyrotropin-releasing hormone (TRH) and metoclopramide testing in infertile women. Gynecological Endocrinology. 5(1). 15–32. 13 indexed citations
12.
Kiesel, Ludwig, et al.. (1991). Characterization of leukotriene C4 binding in anterior pituitary membrane preparations. Prostaglandins. 41(2). 185–199. 4 indexed citations
13.
Eggert‐Kruse, W., et al.. (1989). Circulating antisperm antibodies and fertility prognosis: a prospective study*. Human Reproduction. 4(5). 513–520. 39 indexed citations
14.
Kaufmann, M., et al.. (1989). Proliferations-Index, axillärer Lymphknotenstatus, Hormonrezeptoren und Alter als Prognosefaktoren beim primären Mammakarzinom. Geburtshilfe und Frauenheilkunde. 49(S 1). 104–108. 2 indexed citations
15.
Costa, Serban Dan, et al.. (1989). Epitheliale Wachstumsfaktor-Rezeptoren (EGF-R) und DNA-Flowzytometrie neben Lymphknoten- und Hormonrezeptorstatus als Prognosefaktoren beim primären Mammakarzinom. Geburtshilfe und Frauenheilkunde. 49(4). 375–378. 5 indexed citations
16.
17.
Kaufmann, M., D. Haag, I. A. Born, et al.. (1988). Correlation of dna flow cytometric results and other prognostic factors in primary breast cancer. International Journal of Cancer. 41(6). 823–828. 46 indexed citations
18.
Kiesel, Ludwig, et al.. (1988). GnRH-Rezeptoren im menschlichen Mammakarzinomgewebe. Geburtshilfe und Frauenheilkunde. 48(6). 420–424. 6 indexed citations
19.
Kaufmann, M., H. Schmid, Ludwig Kiesel, & K. Klinga. (1988). GnRH-Agonisten (Zoladex)-Therapie bei prämenopausalen Frauen mit metastasierendem Mammakarzinom*. Geburtshilfe und Frauenheilkunde. 48(7). 528–532. 5 indexed citations
20.
Gerhard, I., et al.. (1986). Estrogen screening in evaluation of fetal outcome and infant’s development. Journal of Perinatal Medicine. 14(5). 279–291. 19 indexed citations

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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