Sarah Eimerl

21 papers receiving 1.5k citations

Peers

Sarah Eimerl
Comparison fields: 5 of 101
  • Reproductive Medicine 207
  • Cellular and Molecular Neuroscience 302
  • Endocrinology, Diabetes and Metabolism 245
  • Molecular Biology 965
  • Genetics 333
Replace Malena B. Rone with:
Malena B. Rone Canada
Wan-Kyng Liu United States
Meng‐Chun Hu Taiwan
Andrew S. Midzak Canada
Evelyn T. Maizels United States
Takeshi Funakoshi Japan
Masazumi Kamohara Japan
Nanao Horike Japan
Giuseppe Pollio Italy
Judith Y. Altarejos United States
Sarah Eimerl relative to Malena B. Rone Canada Malena B. Rone's profile →
Citations per field
00.5×1.5×1.8×
Malena B. Rone · 1×
Citations per year

Countries citing papers authored by Sarah Eimerl

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Eimerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sarah Eimerl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sarah Eimerl Line = papers co-authored together Sarah Eimerl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000208
2 1999168
3 1990165
4 1998120
5 2007115
6 1973108
7 1974100
8 197794
9 200589
10 200376
11 200269
12 200660
13 197657
14 199954
15 200843
16 200233
17 201324
18 197616
19 198813
20 19878

About Sarah Eimerl

Sarah Eimerl is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience, Molecular Biology, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Sperm and Testicular Function (5 papers), Estrogen and related hormone effects (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Amino Acid Enzymes and Metabolism (3 papers), Reproductive Biology and Fertility (3 papers), Lipid Membrane Structure and Behavior (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Reproductive Medicine (207 citations), Cellular and Molecular Neuroscience (302 citations), Endocrinology, Diabetes and Metabolism (245 citations), Molecular Biology (965 citations) and Genetics (333 citations). Sarah Eimerl has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Joseph Orly, Matthias Schramm, E. Costa, Douglas M. Stocco, Zvi Selinger, Joseph Orly, Rina Timberg, Michael J. Schramm, XingJia Wang and Naomi Melamed‐Book. Their work appears in journals such as Molecular Endocrinology, Endocrinology, Journal of Biological Chemistry, Biology of Reproduction and The Journal of Cell Biology.

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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