Fred B. Lih

68 papers receiving 3.3k citations

Peers

Fred B. Lih
Comparison fields: 5 of 117
  • Biochemistry 1.1k
  • Endocrinology, Diabetes and Metabolism 853
  • Pharmacology 229
  • Cancer Research 353
  • Pulmonary and Respiratory Medicine 696
Replace Ming‐Zhi Zhang with:
Ming‐Zhi Zhang United States
David Bishop‐Bailey United Kingdom
Zhanjun Jia China
John M. Seubert Canada
Maria Luz Martínez‐Chantar Spain
Xiong Z. Ruan United Kingdom
Akihiro Tojo Japan
Hideaki Kaneto Japan
O Karmin Canada
Songming Huang China
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Citations per year

Countries citing papers authored by Fred B. Lih

Since Specialization
Citations

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

Fields of papers citing papers by Fred B. Lih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred B. Lih. 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 Fred B. Lih. The network helps show where Fred B. Lih may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005398
2 2020164
3 2010121
4 2011120
5 2016118
6 2010117
7 2018110
8 201198
9 201595
10 201290
11 201783
12 200380
13 201079
14 201479
15 201176
16 201469
17 201565
18 201861
19
The estrogenic content of rodent diets, bedding, cages, and water bottles and its effect on bisphenol A studies.
201358
20 201657

About Fred B. Lih

Fred B. Lih is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism, Physiology, Pharmacology and Pathology and Forensic Medicine, having authored 72 papers that have together received 3.3k indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (36 papers), Alcohol Consumption and Health Effects (16 papers), Hormonal Regulation and Hypertension (15 papers), Inflammatory mediators and NSAID effects (15 papers), Asthma and respiratory diseases (8 papers), Fatty Acid Research and Health (6 papers), Nitric Oxide and Endothelin Effects (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Biochemistry (1.1k citations), Endocrinology, Diabetes and Metabolism (853 citations), Pharmacology (229 citations), Cancer Research (353 citations) and Pulmonary and Respiratory Medicine (696 citations). Fred B. Lih has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Kenneth B. Tomer, Darryl C. Zeldin, Matthew L. Edin, Mark Titus, James L. Mohler, Michael J. Schell, J. Alyce Bradbury, Laura M. DeGraff, Leesa J. Deterding and Craig R. Lee. Their work appears in journals such as The FASEB Journal, Free Radical Biology and Medicine, Journal of Biological Chemistry, Journal of the American Association for Laboratory Animal Science and Journal of Lipid 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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