J. Spona

1.9k total citations
127 papers, 1.5k citations indexed

About

J. Spona is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, J. Spona has authored 127 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Reproductive Medicine, 26 papers in Endocrinology, Diabetes and Metabolism and 23 papers in Molecular Biology. Recurrent topics in J. Spona's work include Ovarian function and disorders (21 papers), Growth Hormone and Insulin-like Growth Factors (18 papers) and Estrogen and related hormone effects (17 papers). J. Spona is often cited by papers focused on Ovarian function and disorders (21 papers), Growth Hormone and Insulin-like Growth Factors (18 papers) and Estrogen and related hormone effects (17 papers). J. Spona collaborates with scholars based in Austria, Germany and United States. J. Spona's co-authors include M. Schemper, G. Reiner, R. Jakesz, Angelika Reiner, Jolanta B. Schmidt, Wilfried Feichtinger, P. Sevelda, Robert Zeillinger, Ch. Bieglmayer and R. Kolb and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Surgery and FEBS Letters.

In The Last Decade

J. Spona

122 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Spona Austria 21 413 316 313 287 247 127 1.5k
Atsushi Imai Japan 26 624 1.5× 289 0.9× 310 1.0× 845 2.9× 323 1.3× 158 2.4k
J. Poortman Netherlands 23 199 0.5× 172 0.5× 343 1.1× 374 1.3× 900 3.6× 54 1.7k
C Campagnoli Italy 22 377 0.9× 370 1.2× 383 1.2× 311 1.1× 667 2.7× 58 1.8k
Clare D. Edman United States 18 374 0.9× 231 0.7× 218 0.7× 245 0.9× 638 2.6× 22 1.4k
A Ulmann France 17 326 0.8× 358 1.1× 111 0.4× 185 0.6× 368 1.5× 47 1.3k
Ichiro Nagata Japan 20 354 0.9× 109 0.3× 230 0.7× 583 2.0× 158 0.6× 88 1.5k
M. Breckwoldt Germany 21 676 1.6× 473 1.5× 56 0.2× 216 0.8× 274 1.1× 151 1.4k
Victoria K. Cortessis United States 24 275 0.7× 283 0.9× 202 0.6× 919 3.2× 411 1.7× 82 1.9k
Felice Arcuri Italy 29 481 1.2× 340 1.1× 166 0.5× 394 1.4× 173 0.7× 68 2.2k
Roberto Vargas United States 22 236 0.6× 93 0.3× 128 0.4× 344 1.2× 249 1.0× 75 1.4k

Countries citing papers authored by J. Spona

Since Specialization
Citations

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

Fields of papers citing papers by J. Spona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Spona

This figure shows the co-authorship network connecting the top 25 collaborators of J. Spona. A scholar is included among the top collaborators of J. Spona 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 J. Spona. J. Spona 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.
Hoven, R. van den, et al.. (2010). A preliminary study on the changes in some potential markers of muscle-cell degradation in sub-maximally exercised horses supplemented with a protein and amino acid mixture. Journal of Animal Physiology and Animal Nutrition. 95(5). 664–675. 8 indexed citations
2.
Hoven, R. van den, et al.. (2009). Changes in intramuscular amino acid levels in submaximally exercised horses - a pilot study. Journal of Animal Physiology and Animal Nutrition. 94(4). 455–64. 7 indexed citations
3.
Spona, J., et al.. (2008). Contraceptive efficacy and safety of a low-dose oral contraceptive, (0.03 mg ethinyl oestradiol and 2 mg chlormadinone acetate) Belara®, over three medication cycles. The European Journal of Contraception & Reproductive Health Care. 13(1). 39–48. 6 indexed citations
4.
Spona, J., Wilfried Feichtinger, C. Moore, et al.. (1997). Modulation of ovarian function by an oral contraceptive containing 30 μg ethinyl estradiol in combination with 2.00 mg dienogest. Contraception. 56(3). 185–191. 23 indexed citations
5.
6.
Ehrlich, Garth D., P. Sevelda, K. Czerwenka, et al.. (1995). HER-2 Amplification but Not Butyrylcholinesterase Mutability Reflects Aggressiveness of European-Originated Ovarian Tumors. Gynecologic Oncology. 56(2). 200–206. 3 indexed citations
7.
Larsen, JWA, et al.. (1994). Cystic fibrosis screening in neonates — measurement of immunoreactive trypsin and direct genotype analysis for ΔF508 mutation. European Journal of Pediatrics. 153(8). 569–573. 15 indexed citations
8.
Spona, J., et al.. (1993). Inhibition of ovulation by a triphasic gestodene-containing oral contraceptive. Advances in Contraception. 9(3). 187–194. 4 indexed citations
9.
Sliutz, G., et al.. (1993). Agnus Castus Extracts Inhibit Prolactin Secretion of Rat Pituitary Cells. Hormone and Metabolic Research. 25(5). 253–255. 52 indexed citations
10.
11.
Pateisky, N., et al.. (1991). Ferritinspiegel von Neugeborenen nach präpartaler Eisenmedikation. Geburtshilfe und Frauenheilkunde. 51(5). 366–368. 9 indexed citations
12.
Rosén, Anders, Michael Klein, Adolf Beck, & J. Spona. (1990). Hyperandrogenemia as a Cause of Primary Infertility. Gynecologic and Obstetric Investigation. 29(2). 145–148. 2 indexed citations
13.
Zielinski, C. C., P. Sevelda, E. Kubista, et al.. (1988). Long-term influence of adjuvant therapy on natural killer cell activity in breast cancer. Cancer Immunology Immunotherapy. 27(3). 278–82. 21 indexed citations
14.
Hamilton, Gerhard, Angelika Reiner, B. Teleky, et al.. (1988). Natural killer cell activities of patients with breast cancer against different target cells. Journal of Cancer Research and Clinical Oncology. 114(2). 191–196. 9 indexed citations
15.
Schmidt, Jolanta B., J. Spona, & J. Huber. (1986). Androgen Receptor in Hirsutism and Acne. Gynecologic and Obstetric Investigation. 22(4). 206–211. 30 indexed citations
16.
Grünberger, W & J. Spona. (1986). The effect of pericervical PGE2 instillation on levels of maternal serum 13,14-Dihydro-15-Keto-PGF2α and progesterone. Archives of Gynecology and Obstetrics. 239(2). 93–99. 2 indexed citations
17.
Spona, J., et al.. (1985). Early Detection of Pregnancy by New β-hCG Monoclonal Urine Test. Gynecologic and Obstetric Investigation. 19(1). 6–10. 1 indexed citations
18.
Altmann, Patrick, et al.. (1978). [Serum oestriol: a parameter of the function of the feto-placental unit (author's transl)].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 90(4). 121–7. 1 indexed citations
19.
Spona, J.. (1976). Action of steroids on LH-RH provoked gonadotropin release.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 10(2). 91–100. 1 indexed citations
20.
Spona, J.. (1975). LH-RH-sensitive adenylate cyclase in isolated plasma membranes of rat adenohypophyses.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 9(1). 27–34. 4 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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