Eric Bachman

4.6k citations
36 papers · 3.6k indexed · 3 hit papers · h-index 23

Eric Bachman

36 papers receiving 3.5k citations

Hit Papers

βAR Signaling Required for Diet-Induced Thermogenesis and...6291995202620052015200400600

Peers

Eric Bachman
Comparison fields: 5 of 119
  • Endocrine and Autonomic Systems 402
  • Endocrinology, Diabetes and Metabolism 786
  • Physiology 987
  • Reproductive Medicine 277
  • Hematology 362
Replace Robert J. Parmer with:
Robert J. Parmer United States
Walter G. Thomas Australia
Sushil K. Mahata United States
Diego J. Walther Germany
Eduardo N. Chini United States
Hiroshi Ibayashi Japan
Ronald N. Rubin United States
Robert H. Oakley United States
Karnam S. Murthy United States
Thurl E. Harris United States
Eric Bachman relative to Robert J. Parmer United States Robert J. Parmer's profile →
Citations per field
00.5×2.7×
Robert J. Parmer · 1×
Citations per year

Countries citing papers authored by Eric Bachman

Since Specialization
Citations

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

Fields of papers citing papers by Eric Bachman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202213
3 2018256
4 201611
5 201520
6 201592
7 20149
8 20146
9 2013275
10 201022
11 200914
12 20093
13 2009169
14
Kinetic analysis of the fatty acid synthesis pathway in HCT-116 colon cancer cells: role of FAS and ACC1 in maintaining tumor cell viability and proliferation
20072
15 200541
16 2003134
17 20021
18 199983
19
Male–female differences in fertility and blood pressure in ACE-deficient micebreakdown →
1995546
20 199066

About Eric Bachman

Eric Bachman is a scholar working on Endocrine and Autonomic Systems, Hematology and Genetics, having authored 36 papers that have together received 3.6k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Hormonal and reproductive studies (5 papers), Adipose Tissue and Metabolism (5 papers), Regulation of Appetite and Obesity (5 papers), Erythropoietin and Anemia Treatment (3 papers), Complement system in diseases (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (402 citations), Endocrinology, Diabetes and Metabolism (786 citations) and Physiology (987 citations). Eric Bachman has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Bradford B. Lowell, Antônio C. Bianco, Chen-Yu Zhang, Harveen Dhillon, Deborah A. O’Brien, Oliver Smithies, John R. Hagaman, John H. Krege, Saverio Cinti and Brian K. Kobilka. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, Endocrinology, Blood and Cell Metabolism.

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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