G C Farrell

49 total papers · 1.8k total citations
46 papers, 1.4k citations indexed

About

G C Farrell is a scholar working on Epidemiology, Pharmacology and Hepatology. According to data from OpenAlex, G C Farrell has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 17 papers in Pharmacology and 14 papers in Hepatology. Recurrent topics in G C Farrell's work include Liver Disease Diagnosis and Treatment (17 papers), Pharmacogenetics and Drug Metabolism (13 papers) and Drug-Induced Hepatotoxicity and Protection (9 papers). G C Farrell is often cited by papers focused on Liver Disease Diagnosis and Treatment (17 papers), Pharmacogenetics and Drug Metabolism (13 papers) and Drug-Induced Hepatotoxicity and Protection (9 papers). G C Farrell collaborates with scholars based in Australia, United States and Sweden. G C Farrell's co-authors include Michael T. Murray, Kim Bell‐Anderson, Fahrettin Haczeyni, Christopher Liddle, J. Grierson, Philip I. Craig, Martin Weltman, Ishita Mehta, Maria Almira Correia and Jacob George and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

G C Farrell

46 papers receiving 1.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
G C Farrell 634 562 383 286 227 46 1.4k
Kazuyoshi Kon 777 1.2× 498 0.9× 526 1.4× 385 1.3× 186 0.8× 53 1.6k
Behnam Saberi 587 0.9× 648 1.2× 534 1.4× 437 1.5× 235 1.0× 75 1.8k
Jorge J. Gumucio 385 0.6× 375 0.7× 432 1.1× 285 1.0× 488 2.1× 52 1.3k
Brett Jones 489 0.8× 289 0.5× 246 0.6× 459 1.6× 116 0.5× 28 1.2k
Lily Dara 654 1.0× 343 0.6× 599 1.6× 583 2.0× 216 1.0× 32 1.7k
Seiichiro Kamimura 677 1.1× 283 0.5× 241 0.6× 395 1.4× 99 0.4× 45 1.6k
Rhiannon N. Hardwick 724 1.1× 267 0.5× 268 0.7× 277 1.0× 534 2.4× 33 1.4k
Yasushi Hasumura 665 1.0× 351 0.6× 495 1.3× 345 1.2× 104 0.5× 62 1.7k
R. Dargel 371 0.6× 324 0.6× 196 0.5× 316 1.1× 89 0.4× 80 1.2k
Shohei Matsuzaki 794 1.3× 329 0.6× 169 0.4× 352 1.2× 118 0.5× 61 1.7k

Countries citing papers authored by G C Farrell

Since Specialization
Citations

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

Fields of papers citing papers by G C Farrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G C Farrell. 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 G C Farrell. The network helps show where G C Farrell may publish in the future.

Co-authorship network of co-authors of G C Farrell

This figure shows the co-authorship network connecting the top 25 collaborators of G C Farrell. A scholar is included among the top collaborators of G C Farrell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G C Farrell. G C Farrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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