E. M. Rivera

796 total citations
30 papers, 448 citations indexed

About

E. M. Rivera is a scholar working on Genetics, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, E. M. Rivera has authored 30 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Oncology and 8 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in E. M. Rivera's work include Cancer Cells and Metastasis (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Animal Genetics and Reproduction (4 papers). E. M. Rivera is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Animal Genetics and Reproduction (4 papers). E. M. Rivera collaborates with scholars based in United States and France. E. M. Rivera's co-authors include Howard A. Bern, AJ Zanella, Sophiya Benjamin, Brian D. Nielsen, C W Welsch, E Cummins, S. R. Wellings, Robert Cooper, S. Vijayaraghavan and I. A. Forsyth and has published in prestigious journals such as Nature, JNCI Journal of the National Cancer Institute and Endocrinology.

In The Last Decade

E. M. Rivera

30 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
E. M. Rivera United States	11	153	113	96	72	69	30	448
L. Pitzel Germany	17	111 0.7×	81 0.7×	31 0.3×	13 0.2×	94 1.4×	42	683
W. A. Condon United States	14	100 0.7×	68 0.6×	40 0.4×	6 0.1×	35 0.5×	17	501
Patrick J. Silva United States	3	311 2.0×	86 0.8×	50 0.5×	14 0.2×	78 1.1×	4	816
Helga Sauerwein Germany	10	136 0.9×	87 0.8×	18 0.2×	12 0.2×	24 0.3×	12	447
Justin C. Lamsa United States	8	287 1.9×	70 0.6×	70 0.7×	9 0.1×	78 1.1×	10	803
K. R. Stevenson United Kingdom	13	145 0.9×	73 0.6×	27 0.3×	31 0.4×	34 0.5×	13	636
Ria B. Oonk Netherlands	11	233 1.5×	211 1.9×	7 0.1×	34 0.5×	36 0.5×	13	720
Kathryn J. Woad United Kingdom	16	317 2.1×	297 2.6×	27 0.3×	27 0.4×	23 0.3×	32	1.2k
D. V. Illingworth United Kingdom	11	131 0.9×	60 0.5×	8 0.1×	39 0.5×	29 0.4×	22	469
K Wollenhaupt Germany	16	94 0.6×	306 2.7×	12 0.1×	14 0.2×	33 0.5×	38	624

Countries citing papers authored by E. M. Rivera

Since Specialization

Citations

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

Fields of papers citing papers by E. M. Rivera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. M. Rivera

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Hennessy, Kathleen, et al.. (2015). Identification of plant extracts that inhibit the formation of diabetes-linked IAPP amyloid. Journal of Herbal Medicine. 6(1). 37–41. 16 indexed citations

Gilgenkrantz, S & E. M. Rivera. (2003). The history of cytogenetics Portraits of some pioneers♢1Translated. Annales de Génétique. 46(4). 433–442. 8 indexed citations

Rivera, E. M., et al.. (2002). Behavioral and physiological responses of horses to initial training: the comparison between pastured versus stalled horses. Applied Animal Behaviour Science. 78(2-4). 235–252. 110 indexed citations

Rivera, E. M. & Brenda Alston‐Mills. (1989). Intrinsic differences in the transplantability and outgrowth potential of DMBA‐induced rat mammary tumors. International Journal of Cancer. 44(6). 1048–1051. 5 indexed citations

Alston‐Mills, Brenda & E. M. Rivera. (1985). Factors influencing differential growth of rat mammary tumor fragments and cells transplanted in gland-free and gland-containing mammary fat pads. European Journal of Cancer and Clinical Oncology. 21(10). 1233–1243. 2 indexed citations

Rivera, E. M. & Srinivasan Vijayaraghavan. (1982). Rat mammary tumors from carcinogen-induced nodules and their responsiveness to ovariectomy. European Journal of Cancer and Clinical Oncology. 18(1). 53–58. 1 indexed citations

Rivera, E. M., et al.. (1981). Organ culture passage enhances the oncogenicity of carcinogen-induced hyperplastic mammary nodules. In Vitro Cellular & Developmental Biology - Plant. 17(2). 159–166. 8 indexed citations

Vijayaraghavan, S. & E. M. Rivera. (1981). Preferential Accumulation of Iron in Hyperplastic Tissue of Rat Mammary Gland. Experimental Biology and Medicine. 168(2). 151–154. 3 indexed citations

Rivera, E. M. & E Cummins. (1972). Nucleic Acid Levels During Functional Development of Mouse Mammary Gland. Experimental Biology and Medicine. 140(2). 502–504. 4 indexed citations

10.

Welsch, C W & E. M. Rivera. (1972). Differential Effects of Estrogen and Prolactin on DNA Synthesis in Organ Cultures of DMBA-Induced Rat Mammary Carcinoma. Experimental Biology and Medicine. 139(2). 623–626. 26 indexed citations

11.

Rivera, E. M., et al.. (1971). Hormonal regulation of RNA synthesis by mouse mammary gland in vitro. Journal of Experimental Zoology. 177(3). 295–300. 6 indexed citations

12.

Rivera, E. M. & E Cummins. (1971). Differential actions of insulin on enzyme activities in mammary organ culture. Journal of Cellular Physiology. 77(2). 175–177. 5 indexed citations

13.

Rivera, E. M. & E Cummins. (1970). GROWTH HORMONE ACTIVITY AND DNA SYNTHESIS IN MAMMARY ORGAN CULTURE. Journal of Endocrinology. 46(2). 283–284. 3 indexed citations

14.

Rivera, E. M., I. A. Forsyth, & S. J. Folley. (1967). Lactogenic Activity of Mammalian Growth Hormones in vitro. Experimental Biology and Medicine. 124(3). 859–865. 15 indexed citations

15.

Rivera, E. M.. (1966). Strain Differences in Mouse Mammary Tissue Sensitivity to Prolactin and Somatotrophin in Organ Culture. Nature. 209(5028). 1151–1152. 5 indexed citations

16.

Rivera, E. M.. (1964). Differential Responsiveness to Hormones ofC3HandAMouse Mammary Tissues in Organ Culture. Endocrinology. 74(6). 853–864. 40 indexed citations

17.

Rivera, E. M.. (1964). Interchangeability of Adrenocortical Hormones in Initiating Mammary Secretion in vitro. Experimental Biology and Medicine. 116(3). 568–572. 7 indexed citations

18.

Rivera, E. M.. (1964). MAINTENANCE AND DEVELOPMENT OF WHOLE MAMMARY GLANDS OF MICE IN ORGAN CULTURE. Journal of Endocrinology. 30(1). 33–39. 8 indexed citations

19.

Rivera, E. M.. (1963). Hormonal Requirements for Survival and Growth of Mouse Primary Mammary Ducts in Organ Culture.. Experimental Biology and Medicine. 114(3). 735–738. 5 indexed citations

20.

Rivera, E. M., et al.. (1963). Toxic Effects of Steroid Hormones on Organ Cultures of Mouse Mammary Tumors, With a Comment on the Occurrence of Viral Inclusion Bodies<xref ref-type="fn" rid="FN2">2</xref>. JNCI Journal of the National Cancer Institute. 31. 671–87. 16 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.

Explore authors with similar magnitude of impact