Emily Farber

6.5k citations
35 papers · 1.9k · h-index 22

Impact in

Papers in

    • Nuclear Structure and Function 9
    • RNA Research and Splicing 9
    • Genetic Associations and Epidemiology 4
    • Genetic Mapping and Diversity in Plants and Animals 3
    • Genetic and phenotypic traits in livestock 2

Emily Farber

35 papers receiving 1.9k citations

Peers

Emily Farber
Comparison fields: 5 of 106
  • Biological Psychiatry 160
  • Behavioral Neuroscience 72
  • Endocrinology, Diabetes and Metabolism 279
  • Cardiology and Cardiovascular Medicine 371
  • Endocrine and Autonomic Systems 107
Replace Diana C. Albarado with:
Diana C. Albarado United States
Irini Manoli United States
Gabriele Baier‐Bitterlich Austria
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Ιορδάνης Καραγιαννίδης United States
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N. Matsuoka Japan
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Citations per field
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Diana C. Albarado · 1×
Citations per year

Countries citing papers authored by Emily Farber

Since Specialization
Citations

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

Fields of papers citing papers by Emily Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Emily Farber, 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 Emily Farber Line = papers co-authored together Emily Farber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007363
2 2017286
3 2014172
4 2010134
5 2007101
6 200787
7 201770
8 201669
9 201963
10 201059
11 200849
12 200848
13 200942
14 200935
15 202133
16 200833
17 202132
18 201132
19 201728
20 201624

About Emily Farber

Emily Farber is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Genetics and Cardiology and Cardiovascular Medicine, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nuclear Structure and Function (9 papers), RNA Research and Splicing (9 papers), Genetic Associations and Epidemiology (4 papers), Cancer-related molecular mechanisms research (3 papers), Lipid metabolism and disorders (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Neonatal Respiratory Health Research (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Biological Psychiatry (160 citations), Behavioral Neuroscience (72 citations), Endocrinology, Diabetes and Metabolism (279 citations), Cardiology and Cardiovascular Medicine (371 citations) and Endocrine and Autonomic Systems (107 citations). Emily Farber has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Stephen G. Young, Loren G. Fong, Suna Önengüt-Gümüşcü, Catherine Coffinier, Sandy Y. Chang, Christopher M. Overall, Alban Gaultier, Charles R. Farber, Stephen S. Rich and Brandon S.J. Davies. Their work appears in journals such as Journal of Biological Chemistry, Cell Metabolism, Human Molecular Genetics, Nature Communications and Journal of Bone and Mineral Research.

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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