Marilyn J. Koering

538 total citations
18 papers, 427 citations indexed

About

Marilyn J. Koering is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Agronomy and Crop Science. According to data from OpenAlex, Marilyn J. Koering has authored 18 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Reproductive Medicine, 7 papers in Public Health, Environmental and Occupational Health and 5 papers in Agronomy and Crop Science. Recurrent topics in Marilyn J. Koering's work include Ovarian function and disorders (7 papers), Reproductive Biology and Fertility (7 papers) and Reproductive Physiology in Livestock (5 papers). Marilyn J. Koering is often cited by papers focused on Ovarian function and disorders (7 papers), Reproductive Biology and Fertility (7 papers) and Reproductive Physiology in Livestock (5 papers). Marilyn J. Koering collaborates with scholars based in United States. Marilyn J. Koering's co-authors include Gary D. Hodgen, Douglas R. Danforth, David Healy, Harland W. Mossman, Roland K. Meyer, Robert Christian Wolf, K.T. Kirton, Arnold L. Goodman, John A. Resko and Charles H. Phoenix and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Marilyn J. Koering

18 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marilyn J. Koering United States 13 246 203 124 82 74 18 427
S.K. Batta United States 13 182 0.7× 247 1.2× 78 0.6× 39 0.5× 75 1.0× 32 424
Bo Dennefors Sweden 12 224 0.9× 135 0.7× 168 1.4× 99 1.2× 113 1.5× 28 436
Wilbert E. Nixon United States 14 403 1.6× 246 1.2× 243 2.0× 163 2.0× 110 1.5× 23 723
Yasuo Hamada United States 10 192 0.8× 174 0.9× 130 1.0× 56 0.7× 82 1.1× 12 376
Syed Saiduddin United States 11 117 0.5× 91 0.4× 124 1.0× 43 0.5× 133 1.8× 20 356
J. Dullaart Netherlands 11 224 0.9× 160 0.8× 99 0.8× 48 0.6× 73 1.0× 16 454
R. DEANESLY Slovakia 14 221 0.9× 280 1.4× 164 1.3× 158 1.9× 151 2.0× 37 623
Junichi MORI Japan 12 97 0.4× 83 0.4× 151 1.2× 63 0.8× 121 1.6× 48 362
K. Wright United States 10 163 0.7× 66 0.3× 101 0.8× 76 0.9× 105 1.4× 16 417
A. H. Surve United States 8 159 0.6× 50 0.2× 153 1.2× 59 0.7× 108 1.5× 9 358

Countries citing papers authored by Marilyn J. Koering

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn J. Koering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilyn J. Koering

This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn J. Koering. A scholar is included among the top collaborators of Marilyn J. Koering 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 Marilyn J. Koering. Marilyn J. Koering is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Koering, Marilyn J., Douglas R. Danforth, & Gary D. Hodgen. (1994). Early Follicle Growth in the Juvenile Macaca Monkey Ovary: The Effects of Estrogen Priming and Follicle-Stimulating Hormone1. Biology of Reproduction. 50(3). 686–694. 35 indexed citations
2.
Koering, Marilyn J., Douglas R. Danforth, & Gary D. Hodgen. (1991). Early Folliculogenesis in Primate Ovaries: Testing the Role of Estrogen1. Biology of Reproduction. 45(6). 890–897. 34 indexed citations
3.
Koering, Marilyn J., David Healy, & Gary D. Hodgen. (1986). Morphologic response of endometrium to a progesterone receptor antagonist, RU486, in monkeys. Fertility and Sterility. 45(2). 280–287. 51 indexed citations
4.
Koering, Marilyn J.. (1983). Preantral follicle development during the menstrual cycle in the Macaca mulatta ovary. American Journal of Anatomy. 166(4). 429–443. 21 indexed citations
5.
Koering, Marilyn J., et al.. (1982). Developing Morphological Asymmetry of Ovarian Follicular Maturation in Monkeys1. Biology of Reproduction. 27(4). 989–997. 12 indexed citations
6.
Goodman, Arnold L., Marilyn J. Koering, Wilbert E. Nixon, Robert F. Williams, & Gary D. Hodgen. (1982). Follicle dominance and ovarian asymmetry after luteectomy in rhesus monkeys. American Journal of Physiology-Endocrinology and Metabolism. 243(4). E325–E331. 8 indexed citations
7.
Koering, Marilyn J., Arnold L. Goodman, Robert F. Williams, & Gary D. Hodgen. (1982). Granulosa cell pyknosis in the dominant follicle of monkeys. Fertility and Sterility. 37(6). 837–844. 17 indexed citations
8.
Koering, Marilyn J., et al.. (1978). Structural Changes in the Regressing Corpus Luteum of the Rabbit1. Biology of Reproduction. 18(5). 719–733. 15 indexed citations
9.
Koering, Marilyn J. & Samuel A. Sholl. (1978). Ovarian Interstitial Gland Tissue and Serum Progestin Levels during the First Periovulatory Period in the Mated Rabbit1. Biology of Reproduction. 19(5). 936–948. 7 indexed citations
10.
Resko, John A., et al.. (1975). Preovulatory Progestins: Observations on Their Source in Rhesus Monkeys1. The Journal of Clinical Endocrinology & Metabolism. 41(1). 120–125. 28 indexed citations
11.
Koering, Marilyn J.. (1974). LUTEOLYSIS IN NORMAL AND PROSTAGLANDIN F2α-TREATED PSEUDOPREGNANT RABBITS. Reproduction. 40(2). 259–267. 8 indexed citations
12.
Koering, Marilyn J., Robert Christian Wolf, & Roland K. Meyer. (1973). Morphological and Functional Evidence for Corpus Luteum Activity During Late Pregnancy in the Rhesus Monkey1. Endocrinology. 93(3). 686–693. 14 indexed citations
13.
Koering, Marilyn J., et al.. (1973). The Effects of Prostaglandin F2α on the Structure and Function of the Rabbit Ovary1. Biology of Reproduction. 9(3). 226–245. 22 indexed citations
14.
Kirton, K.T. & Marilyn J. Koering. (1973). Prostaglandin F2α and Primate Corpus Luteum: A Correlation of Structure and Function. Fertility and Sterility. 24(12). 926–934. 7 indexed citations
15.
Koering, Marilyn J., Robert Christian Wolf, & Roland K. Meyer. (1973). Morphological Changes in the Corpus Luteum Correlated with Progestin Levels in the Rhesus Monkey during Early Pregnancy1. Biology of Reproduction. 9(3). 254–271. 17 indexed citations
16.
Riesen, J.W., Marilyn J. Koering, Roland K. Meyer, & Robert Christian Wolf. (1970). Origin of Ovarian Venous Progesterone in the Rhesus Monkey. Endocrinology. 86(6). 1212–1214. 15 indexed citations
17.
Koering, Marilyn J.. (1969). Cyclic changes in ovarian morphology during the menstrual cycle in Macaca mulatta. American Journal of Anatomy. 126(1). 73–101. 69 indexed citations
18.
Mossman, Harland W., et al.. (1964). Cyclic changes of interstitial gland tissue of the human ovary. American Journal of Anatomy. 115(2). 235–255. 47 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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