Colin M. Stack

46 papers receiving 2.3k citations

Peers

Colin M. Stack
Comparison fields: 5 of 89
  • Parasitology 954
  • Small Animals 794
  • Animal Science and Zoology 385
  • Microbiology 149
  • Oncology 490
Replace Conor R. Caffrey with:
Conor R. Caffrey United States
Mo‐Quen Klinkert Germany
Naotoshi Tsuji Japan
Alan Trudgett United Kingdom
Prasanta Chakraborty United States
Gordon Langsley France
Fiona Hackett United Kingdom
M E Pereira United States
Yasunobu Matsumoto Japan
Palmer A. Orlandi United States
Colin M. Stack relative to Conor R. Caffrey United States Conor R. Caffrey's profile →
Citations per field
00.5×4.6×
Conor R. Caffrey · 1×
Citations per year

Countries citing papers authored by Colin M. Stack

Since Specialization
Citations

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

Fields of papers citing papers by Colin M. Stack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Colin M. Stack. 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 Colin M. Stack. The network helps show where Colin M. Stack may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003229
2 2008205
3 2004137
4 2009125
5 2009120
6 2008113
7 2009110
8 2010107
9 200697
10 200785
11 200777
12 201076
13 200474
14 200969
15 200551
16 201250
17 200749
18 200940
19 200638
20 201235

About Colin M. Stack

Colin M. Stack is a scholar working on Parasitology, Oncology, Public Health, Environmental and Occupational Health, Small Animals and Epidemiology, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Parasites and Host Interactions (16 papers), Peptidase Inhibition and Analysis (12 papers), Malaria Research and Control (10 papers), Helminth infection and control (10 papers), Parasite Biology and Host Interactions (8 papers), Reproductive tract infections research (5 papers), Coccidia and coccidiosis research (4 papers) and Fungal Infections and Studies (4 papers). The work is most often cited by research in Parasitology (954 citations), Small Animals (794 citations), Animal Science and Zoology (385 citations), Microbiology (149 citations) and Oncology (490 citations). Colin M. Stack has collaborated with scholars based in Australia, Ireland and United Kingdom. Frequent co-authors include John P. Dalton, Sheila Donnelly, Jonathan Lowther, Sandra M. O’Neill, Donald L. Gardiner, Tina S. Skinner‐Adams, Katharine R. Trenholme, Mark W. Robinson, Peter R. Collins and Artur Mucha. Their work appears in journals such as Journal of Biological Chemistry, International Journal for Parasitology, Experimental Parasitology, Proceedings of the National Academy of Sciences and FEBS 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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