David Farningham

2.1k total citations · 1 hit paper
15 papers, 1.6k citations indexed

About

David Farningham is a scholar working on Small Animals, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, David Farningham has authored 15 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Small Animals, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Social Psychology. Recurrent topics in David Farningham's work include Animal Behavior and Welfare Studies (4 papers), Neuropeptides and Animal Physiology (4 papers) and Primate Behavior and Ecology (4 papers). David Farningham is often cited by papers focused on Animal Behavior and Welfare Studies (4 papers), Neuropeptides and Animal Physiology (4 papers) and Primate Behavior and Ecology (4 papers). David Farningham collaborates with scholars based in United Kingdom, Mauritius and Canada. David Farningham's co-authors include Stephen R. Wedge, Paul Workman, M J Glennie, Frances R. Balkwill, Allan Balmain, D J Chaplin, J A Double, Vicky Robinson, Eric O. Aboagye and Lloyd R. Kèlland and has published in prestigious journals such as Brain Research, British Journal of Cancer and British Journal Of Nutrition.

In The Last Decade

David Farningham

15 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Guidelines for the welfare and use of animals in cancer research

2010 1.1k citations Paul Workman, Eric O. Aboagye et al. British Journal of Cancer profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David Farningham United Kingdom	12	548	337	262	200	190	15	1.6k
Roger Vassy France	21	824 1.5×	321 1.0×	198 0.8×	50 0.3×	107 0.6×	51	1.5k
Anna Bianchi United States	23	815 1.5×	309 0.9×	275 1.0×	103 0.5×	69 0.4×	51	1.4k
Marina Wolfson Israel	21	857 1.6×	207 0.6×	125 0.5×	42 0.2×	130 0.7×	60	1.5k
Paulo César Maiorka Brazil	13	558 1.0×	194 0.6×	387 1.5×	17 0.1×	94 0.5×	48	1.5k
Astrid Kehlen Germany	32	1.3k 2.3×	762 2.3×	299 1.1×	23 0.1×	154 0.8×	71	2.9k
Carlo Cenciarelli Italy	28	1.6k 3.0×	736 2.2×	355 1.4×	22 0.1×	162 0.9×	67	2.7k
Jennifer Meek United States	12	1.6k 3.0×	330 1.0×	215 0.8×	29 0.1×	552 2.9×	12	2.4k
Hiroyoshi Hoshi Japan	30	976 1.8×	67 0.2×	114 0.4×	284 1.4×	406 2.1×	61	2.4k
William H. Beers United States	17	1.2k 2.2×	99 0.3×	541 2.1×	200 1.0×	358 1.9×	19	3.1k
Chong‐Feng Xu United States	27	1.9k 3.5×	368 1.1×	274 1.0×	31 0.2×	206 1.1×	53	2.8k

Countries citing papers authored by David Farningham

Since Specialization

Citations

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

Fields of papers citing papers by David Farningham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Farningham

This figure shows the co-authorship network connecting the top 25 collaborators of David Farningham. A scholar is included among the top collaborators of David Farningham 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 David Farningham. David Farningham is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Farningham, David, et al.. (2020). Developing and validating attention bias tools for assessing trait and state affect in animals: A worked example with Macaca mulatta. Applied Animal Behaviour Science. 234. 105198–105198. 18 indexed citations

Zimmermann, Jonas B., et al.. (2017). An automated system for positive reinforcement training of group-housed macaque monkeys at breeding and research facilities. Journal of Neuroscience Methods. 285. 6–18. 16 indexed citations

Farningham, David, Claire L. Witham, Ann MacLarnon, et al.. (2017). A protocol for training group-housed rhesus macaques ( Macaca mulatta ) to cooperate with husbandry and research procedures using positive reinforcement. Applied Animal Behaviour Science. 197. 90–100. 15 indexed citations

Prescott, Mark J., et al.. (2011). Laboratory macaques: When to wean?. Applied Animal Behaviour Science. 137(3-4). 194–207. 20 indexed citations

Workman, Paul, Eric O. Aboagye, Frances R. Balkwill, et al.. (2010). Guidelines for the welfare and use of animals in cancer research. British Journal of Cancer. 102(11). 1555–1577. 1076 indexed citations breakdown →

Smith, David W., et al.. (2001). The selection of marmoset monkeys (Callithrix jacchus) in pharmaceutical toxicology. Laboratory Animals. 35(2). 117–130. 68 indexed citations

Grant, George, et al.. (1999). Secretion of Pancreatic Digestive Enzymes Induced in Rats by First-Time Oral Exposure to Kidney Bean E2L2 Lectin Is Mediated Only in Part by Cholecystokinin (CCK). Pancreas. 19(4). 382–389. 14 indexed citations

MacRae, J.C., et al.. (1997). Absorption of amino acids from the intestine and their net flux across the mesenteric- and portal-drained viscera of lambs.. Journal of Animal Science. 75(12). 3307–3307. 57 indexed citations

Lobley, G. E., Alexmary Connell, M. A. Lomax, et al.. (1995). Hepatic detoxification of ammonia in the ovine liver: possible consequences for amino acid catabolism. British Journal Of Nutrition. 73(5). 667–685. 171 indexed citations

10.

Farningham, David, Julian G. Mercer, & Catherine B. Lawrence. (1993). Satiety signals in sheep: Involvement of CCK, propionate, and vagal CCK binding sites. Physiology & Behavior. 54(3). 437–442. 20 indexed citations

11.

Baintner, K., David Farningham, L.A. Bruce, J.C. MacRae, & Árpád Pusztai. (1993). Fate of the Antinutritive Proteins of Soyabean in the Ovine Gut. Journal of Veterinary Medicine Series A. 40(1-10). 427–431. 5 indexed citations

12.

Farningham, David, et al.. (1993). The role of propionate and acetate in the control of food intake in sheep. British Journal Of Nutrition. 70(1). 37–46. 61 indexed citations

13.

Mercer, Julian G., David Farningham, & Catherine B. Lawrence. (1992). Effect of neonatal capsaicin treatment on cholecystokinin-(CCK8) satiety and axonal transport of CCK binding sites in the rat vagus nerve. Brain Research. 569(2). 311–316. 20 indexed citations

14.

Farningham, David. (1991). Synergism between cholecystokinin octapeptide and propionate in the control of food intake in ruminants. Regulatory Peptides. 35(3). 236–236. 4 indexed citations

15.

Farningham, David. (1986). Comparison between the renal clearance of endogenous creatinine and inulin in the sheep. Research in Veterinary Science. 41(3). 410–411. 1 indexed citations

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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