Edward M. Eddy

955 total citations
11 papers, 817 citations indexed

About

Edward M. Eddy is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Edward M. Eddy has authored 11 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Reproductive Medicine. Recurrent topics in Edward M. Eddy's work include Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (4 papers) and Estrogen and related hormone effects (2 papers). Edward M. Eddy is often cited by papers focused on Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (4 papers) and Estrogen and related hormone effects (2 papers). Edward M. Eddy collaborates with scholars based in United States and Japan. Edward M. Eddy's co-authors include David M. Phillips, Don W. Fawcett, Eugenia H. Goulding, Kenneth S. Korach, Chisato Mori, Makio Fujioka, Noriko Nakamura, David J. Dix, Kohei Shiota and Soichi Nakagawa and has published in prestigious journals such as Endocrinology, Developmental Biology and Biology of Reproduction.

In The Last Decade

Edward M. Eddy

11 papers receiving 794 citations

Peers

Edward M. Eddy

RM

MB

GENET

PHEOH

PS

J.L. Courtens France

C. Finaz France

Paula R. Brown United States

Aurore Thélie France

Giovanna Berruti Italy

Elizabeth C. Anderson United States

Jean‐Pierre Dadoune France

Yujiroh Kamiguchi Japan

J. Bézard France

Suzannah A. Williams United Kingdom

J.L. Courtens France

Edward M. Eddy

561 ×1.3

RM

258 ×0.7

MB

178 ×0.6

GENET

365 ×1.3

PHEOH

60 ×0.8

PS

Citations per year, relative to Edward M. Eddy Edward M. Eddy (= 1×) peers J.L. Courtens

Countries citing papers authored by Edward M. Eddy

Since Specialization

Citations

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

Fields of papers citing papers by Edward M. Eddy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward M. Eddy

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

All Works

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11 of 11 papers shown

1.

Buchold, Gregory M. & Edward M. Eddy. (2012). Testicular Expression of Multiple DExD/H RNA Helicases.. Biology of Reproduction. 87(Suppl_1). 430–430. 1 indexed citations

2.

Inselman, Amy L., Noriko Nakamura, Paula R. Brown, et al.. (2009). Heat shock protein 2 promoter drives cre expression in spermatocytes of transgenic mice. genesis. 48(2). 114–120. 32 indexed citations

3.

Geyer, Christopher B., et al.. (2009). A missense mutation in the Capza3 gene and disruption of F-actin organization in spermatids of repro32 infertile male mice. Developmental Biology. 330(1). 142–152. 53 indexed citations

4.

Goulding, Eugenia H., et al.. (2001). Estrogen receptor-α is required by the supporting somatic cells for spermatogenesis. Molecular and Cellular Endocrinology. 178(1-2). 57–63. 58 indexed citations

5.

Goulding, Eugenia H., et al.. (2000). Spermatogenic Cells Do Not Require Estrogen Receptor-α for Development or Function. Endocrinology. 141(3). 1273–1273. 108 indexed citations

6.

Mori, Chisato, Noriko Nakamura, Jeffrey E. Welch, et al.. (1998). Mouse spermatogenic cell-specific type 1 hexokinase (mHk1-s) transcripts are expressed by alternative splicing from themHk1 gene and the HK1-S protein is localized mainly in the sperm tail. Molecular Reproduction and Development. 49(4). 374–385. 94 indexed citations

7.

Mori, Chisato, Noriko Nakamura, David J. Dix, et al.. (1997). Morphological analysis of germ cell apoptosis during postnatal testis development in normal and Hsp70-2 knockout mice. Developmental Dynamics. 208(1). 125–136. 118 indexed citations

8.

Rumery, Ruth E. & Edward M. Eddy. (1974). Scanning electron microscopy of the fimbriae and ampullae of rabbit oviducts. The Anatomical Record. 178(1). 83–101. 32 indexed citations

9.

Fawcett, Don W., Edward M. Eddy, & David M. Phillips. (1970). Observations on the Fine Structure and Relationships of the Chromatoid Body in Mammalian Spermatogenesis1. Biology of Reproduction. 2(1). 129–153. 225 indexed citations

10.

Eddy, Edward M.. (1970). Cytochemical Observations on the Chromatoid Body of the Male Germ Cells1. Biology of Reproduction. 2(1). 114–128. 67 indexed citations

11.

Eddy, Edward M. & Bruce E. Walker. (1969). Cytoplasmic fine structure during hormonally controlled differentiation in vaginal epithelium. The Anatomical Record. 164(2). 205–217. 29 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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