Emmanuel Farber

19.2k citations
287 papers · 16.8k · 6 hit papers · h-index 67

Impact in

  • Hepatology top 0.1%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Carcinogens and Genotoxicity Assessment

Papers in

    • Liver physiology and pathology 90
    • Hepatocellular Carcinoma Treatment and Prognosis 30
    • Carcinogens and Genotoxicity Assessment 89

Emmanuel Farber

285 papers receiving 14.2k citations

Emmanuel Farber's Hit Papers

Carcinogenesis by Hepatic Peroxisome Proliferators: Evaluation of the Risk of Hypolipidemic Drugs and Industrial Plasticizers to Humans 1983 · 824 citations
8240+23+46Years since publication250500750

Peers

Emmanuel Farber
Comparison fields: 5 of 148
  • Hepatology 4k
  • Cancer Research 5.1k
  • Pharmacology 2k
  • Biochemistry 554
  • Molecular Biology 5.5k
Replace Janardan K. Reddy with:
Janardan K. Reddy United States
André Guillouzo France
Rolf Schulte‐Hermann Austria
Snorri S. Thorgeirsson United States
Harold P. Morris United States
George F. Weber United States
José María Mato Spain
Nobuyuki Ito Japan
James Lorenzen Boyer United States
Peter L. M. Jansen Netherlands
Emmanuel Farber relative to Janardan K. Reddy United States Janardan K. Reddy's profile →
Citations per field
00.5×2×2.7×
Janardan K. Reddy · 1×
Citations per year

Countries citing papers authored by Emmanuel Farber

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 287 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Carcinogenesis by Hepatic Peroxisome Proliferators: Evaluation of the Risk of Hypolipidemic Drugs and Industrial Plasticizers to Humans
Hit paper breakdown →
1983824
2
New principle for the analysis of chemical carcinogenesis
Hit paper breakdown →
1976685
3
Similarities in the sequence of early histological changes induced in the liver of the rat by ethionine, 2-acetylamino-fluorene, and 3'-methyl-4-dimethylaminoazobenzene.
Hit paper breakdown →
1956589
4
The Sequential Analysis of Cancer Development
Hit paper breakdown →
1980539
5
Rapid emergence of carcinogen-induced hyperplastic lesions in a new model for the sequential analysis of liver carcinogenesis.
Hit paper breakdown →
1977487
6
The multistep nature of cancer development.
1984438
7
Hepatocarcinogenesis: a dynamic cellular perspective.
1987364
8
Toxic liver injury and carcinogenesis. Methylation of rat-liver nucleic acids by dimethylnitrosamine in vivo
Hit paper breakdown →
1962356
9
Cellular biochemistry of the stepwise development of cancer with chemicals: G. H. A. Clowes memorial lecture.
1984330
10 1978306
11 2002306
12 1980300
13 1963260
14 1984256
15
Induction of resistant hepatocytes as a new principle for a possible short-term in vivo test for carcinogens.
1980227
16
Phenotypic diversity as an early property of putative preneoplastic hepatocyte populations in liver carcinogenesis.
1980191
17 1963185
18
Gamma-glutamyltransferase in putative premalignant liver cell populations during hepatocarcinogenesis.
1978185
19 1987185
20
Cellular analysis of liver carcinogenesis: the induction of large hyperplastic nodules in the liver with 2-fluorenylacetamide or ethionine and some aspects of their morphology and glycogen metabolism.
1967184

About Emmanuel Farber

Emmanuel Farber is a scholar working on Hepatology, Cancer Research, Pharmacology, Molecular Biology and Biochemistry, having authored 287 papers that have together received 16.8k indexed citations. Recurring topics across this work include Liver physiology and pathology (90 papers), Carcinogens and Genotoxicity Assessment (89 papers), Cancer and biochemical research (35 papers), Hepatocellular Carcinoma Treatment and Prognosis (30 papers), Drug-Induced Hepatotoxicity and Protection (26 papers), RNA and protein synthesis mechanisms (21 papers), Pharmacogenetics and Drug Metabolism (18 papers) and Biochemical and Molecular Research (17 papers). The work is most often cited by research in Hepatology (4k citations), Cancer Research (5.1k citations), Pharmacology (2k citations), Biochemistry (554 citations) and Molecular Biology (5.5k citations). Emmanuel Farber has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Dennis B. Solt, D.S.R. Sarma, Ross Cameron, J K Reddy, Kenneth H. Shull, Saúl Villa‐Treviño, Hiroyuki Tsuda, Amiya K. Ghoshal, Alan Medline and George Lee. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Toxicologic Pathology, JNCI Journal of the National Cancer Institute and Cancer Letters.

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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