M I Evans

768 total citations
19 papers, 687 citations indexed

About

M I Evans is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, M I Evans has authored 19 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 9 papers in Molecular Biology and 7 papers in Animal Science and Zoology. Recurrent topics in M I Evans's work include Estrogen and related hormone effects (11 papers), Hypothalamic control of reproductive hormones (5 papers) and Animal Nutrition and Physiology (5 papers). M I Evans is often cited by papers focused on Estrogen and related hormone effects (11 papers), Hypothalamic control of reproductive hormones (5 papers) and Animal Nutrition and Physiology (5 papers). M I Evans collaborates with scholars based in United States and Israel. M I Evans's co-authors include J. B. Burch, D. Porte, Jeffrey B. Halter, G. Stanley McKnight, Thea M. Friedman, Eugene A. Berkowitz, Lisa J. Hager, John B.E. Burch, Yunfeng Zhu and A. Krust and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

M I Evans

19 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M I Evans United States	13	318	277	83	76	75	19	687
PATRICIA A. KLASE United States	15	252 0.8×	164 0.6×	144 1.7×	27 0.4×	37 0.5×	25	653
Shinji Takahashi Japan	17	131 0.4×	332 1.2×	40 0.5×	60 0.8×	61 0.8×	63	830
Maureen T. Travers United Kingdom	17	257 0.8×	378 1.4×	91 1.1×	96 1.3×	69 0.9×	28	981
Susan M. Krzysik-Walker United States	16	137 0.4×	337 1.2×	177 2.1×	86 1.1×	156 2.1×	19	1.3k
Françoise Kühne Switzerland	13	233 0.7×	622 2.2×	138 1.7×	90 1.2×	73 1.0×	15	1.3k
Marie-Lise Thieulant France	21	456 1.4×	288 1.0×	390 4.7×	30 0.4×	34 0.5×	51	1.1k
MARY M. GARRISON United States	13	136 0.4×	300 1.1×	322 3.9×	54 0.7×	154 2.1×	26	924
Rosely Oliveira Godinho Brazil	20	98 0.3×	466 1.7×	79 1.0×	38 0.5×	50 0.7×	51	931
Cansu Agca United States	19	200 0.6×	337 1.2×	50 0.6×	18 0.2×	32 0.4×	55	1.0k
Kar‐Lit Wong United States	12	114 0.4×	202 0.7×	284 3.4×	16 0.2×	147 2.0×	17	876

Countries citing papers authored by M I Evans

Since Specialization

Citations

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

Fields of papers citing papers by M I Evans

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M I Evans. 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 M I Evans. The network helps show where M I Evans may publish in the future.

Co-authorship network of co-authors of M I Evans

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

All Works

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19 of 19 papers shown

Zhu, Yunfeng & M I Evans. (2001). Estrogen modulates the expression of L‐arginine:glycine amidinotransferase in chick liver. Molecular and Cellular Biochemistry. 221(1-2). 139–145. 21 indexed citations

Yaron, Yuval, et al.. (1999). p53 tumor suppressor gene expression in the mouse ovary during an artificially induced ovulatory cycle.. PubMed. 44(2). 107–14. 5 indexed citations

Shuler, Franklin D., William W. Chu, Shi‐Yi Wang, & M I Evans. (1998). A Composite Regulatory Element in the First Intron of the Estrogen-Responsive Very Low Density Apolipoprotein II Gene. DNA and Cell Biology. 17(8). 689–697. 6 indexed citations

Yaron, Yuval, et al.. (1998). Alternatively spliced mRNA transcripts encoding the extracellular domain of the FSH receptor gene. Expression in the mouse ovary during the ovulatory cycle.. PubMed. 43(5). 435–8. 14 indexed citations

Edinger, Robert S., Elizabeth Mambo, & M I Evans. (1997). Estrogen-Dependent Transcriptional Activation and Vitellogenin Gene Memory. Molecular Endocrinology. 11(13). 1985–1993. 25 indexed citations

Evans, M I, William W. Chu, & Eugene A. Berkowitz. (1994). Regulation of the Chicken Very Low Density Apolipoprotein II Gene: Interaction of Estrogen and Insulin. Elsevier eBooks. 49. 335–339. 3 indexed citations

Berkowitz, Eugene A., et al.. (1993). Insulin inhibits the estrogen-dependent expression of the chicken very low density apolipoprotein II gene in Leghorn male hepatoma cells.. Molecular Endocrinology. 7(4). 507–514. 7 indexed citations

Berkowitz, Eugene A. & M I Evans. (1992). Estrogen-dependent expression of the chicken very low density apolipoprotein II gene in serum-free cultures of LMH cells. In Vitro Cellular & Developmental Biology - Animal. 28(6). 391–396. 12 indexed citations

Berkowitz, Eugene A. & M I Evans. (1992). Functional analysis of regulatory regions upstream and in the first intron of the estrogen-responsive chicken very low density apolipoprotein II gene.. Journal of Biological Chemistry. 267(10). 7134–7138. 28 indexed citations

10.

Evans, M I, et al.. (1988). Isolation of chicken vitellogenin I and III cDNAs and the developmental regulation of five estrogen-responsive genes in the embryonic liver.. Genes & Development. 2(1). 116–124. 68 indexed citations

11.

Burch, J. B., et al.. (1988). Two functional estrogen response elements are located upstream of the major chicken vitellogenin gene.. Molecular and Cellular Biology. 8(3). 1123–1131. 84 indexed citations

12.

Burch, John B.E., et al.. (1988). Two Functional Estrogen Response Elements Are Located Upstream of the Major Chicken Vitellogenin Gene. Molecular and Cellular Biology. 8(3). 1123–1131. 30 indexed citations

13.

Evans, M I, et al.. (1987). Developmental regulation of the estrogen receptor and the estrogen responsiveness of five yolk protein genes in the avian liver.. Proceedings of the National Academy of Sciences. 84(23). 8493–8497. 41 indexed citations

14.

Burch, John B.E. & M I Evans. (1986). Chromatin Structural Transitions and the Phenomenon of Vitellogenin Gene Memory in Chickens. Molecular and Cellular Biology. 6(6). 1886–1893. 14 indexed citations

15.

Burch, J. B. & M I Evans. (1986). Chromatin structural transitions and the phenomenon of vitellogenin gene memory in chickens.. Molecular and Cellular Biology. 6(6). 1886–1893. 45 indexed citations

16.

Evans, M I & G. Stanley McKnight. (1984). Regulation of the Ovalbumin Gene: Effects of Insulin, Adenosine 3′,5′-Monophosphate, and Estrogen*. Endocrinology. 115(1). 368–377. 42 indexed citations

17.

Karson, Evelyn M., et al.. (1984). Modifications of media incubation and fixation for direct preparation of chorionic villi. 191. 1 indexed citations

18.

Evans, M I, Lisa J. Hager, & G. Stanley McKnight. (1981). A somatomedin-like peptide hormone is required during the estrogen-mediated induction of ovalbumin gene transcription. Cell. 25(1). 187–193. 65 indexed citations

19.

Evans, M I, Jeffrey B. Halter, & D. Porte. (1978). Comparison of double- and single-isotope enzymatic derivative methods for measuring catecholamines in human plasma.. Clinical Chemistry. 24(4). 567–570. 176 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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