A. Farr

319.1k citations
7 papers · 295.7k indexed · 2 hit papers · h-index 7

Impact in

  • Biochemistry top 0.01%
    • Amino Acid Enzymes and Metabolism
    • Glycosylation and Glycoproteins Research
    • Receptor Mechanisms and Signaling
    • Protein Hydrolysis and Bioactive Peptides

Papers in

A. Farr

7 papers receiving 268.8k citations

Hit Papers

THE QUANTITATIVE HISTOCHEMISTRY OF BRAIN 1954 · 952 citations
952195120261976200150.0k100.0k150.0k200.0k250.0k

Peers

A. Farr
Comparison fields: 5 of 215
  • Biochemistry 22.2k
  • Molecular Biology 143.2k
  • Pharmacology 16.7k
  • Clinical Biochemistry 11.8k
  • Biotechnology 14.8k
Replace Marion M. Bradford with:
Marion M. Bradford United States
Ulrich K. Laemmli Switzerland
Mark A. Bradford United States
Barry Halliwell United Kingdom
Guido Kroemer France
Michael Karin United States
Kenneth J. Livak United States
Solomon H. Snyder United States
Tom Maniatis United States
Ronald M. Evans United States
A. Farr relative to Marion M. Bradford United States Marion M. Bradford's profile →
Citations per field
00.5×3.2×
Marion M. Bradford · 1×
Citations per year

Countries citing papers authored by A. Farr

Since Specialization
Citations

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

Fields of papers citing papers by A. Farr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside A. Farr, 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 A. Farr Line = papers co-authored together A. Farr links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201680
2 198016
3 197913
4 197722
5
THE QUANTITATIVE HISTOCHEMISTRY OF BRAIN
Hit paper breakdown →
1954952
6 1954156
7
PROTEIN MEASUREMENT WITH THE FOLIN PHENOL REAGENT
Hit paper breakdown →
1951294507

About A. Farr

A. Farr is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Endocrine and Autonomic Systems, Neurology and Cell Biology, having authored 7 papers that have together received 295.7k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (2 papers), Neonatal and fetal brain pathology (2 papers), Neonatal Respiratory Health Research (2 papers), Preterm Birth and Chorioamnionitis (1 paper), Barrier Structure and Function Studies (1 paper), Glycosylation and Glycoproteins Research (1 paper), Muscle metabolism and nutrition (1 paper) and Cancer and biochemical research (1 paper). The work is most often cited by research in Biochemistry (22.2k citations), Molecular Biology (143.2k citations), Pharmacology (16.7k citations), Clinical Biochemistry (11.8k citations) and Biotechnology (14.8k citations). A. Farr has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Meiling Wu, Oliver H. Lowry, Nira R. Roberts, R. Wayne Albers, J. Anthony Firth, Sophie Fillon, Jessica Humann, Joseph S. Ramahi, Beth Mann and Elaine Tuomanen. Their work appears in journals such as Journal of Biological Chemistry, Cell and Tissue Research, Histochemistry and Cell Biology and Cell Host & Microbe.

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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