I. McCandlish

1.9k citations
18 papers · 1.3k indexed · 1 hit paper · h-index 11
Topics
Virus-based gene therapy research (10 papers)Animal Virus Infections Studies (7 papers)Parvovirus B19 Infection Studies (6 papers)

In The Last Decade

I. McCandlish

18 papers receiving 1.2k citations

Hit Papers

Infectious diseases of the dog and cat19912026200220141991250500750

Peers

I. McCandlish
Comparison fields: 5 of 82
  • Infectious Diseases 513
  • Epidemiology 467
  • Genetics 328
  • Parasitology 317
  • Animal Science and Zoology 212
Replace S. Perl with:
S. Perl Israel
Craig E. Greene United States
A. Waldvogel Switzerland
Tomoyuki SHIBAHARA Japan
J. H. Gillespie United States
S. P. Snyder United States
Caroline Argenta Pescador Brazil
Sylvia J. Tucker United States
G. Sironi Italy
Benjamin J. Weigler United States
I. McCandlish relative to S. Perl Israel S. Perl's profile →
Citations per field
00.5×2.6×
S. Perl · 1×
Citations per year

Countries citing papers authored by I. McCandlish

Since Specialization
Citations

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

Fields of papers citing papers by I. McCandlish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. McCandlish

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 9
2 34
3 5
4 20
5
Infectious diseases of the dog and catbreakdown →
952
6 4
7 21
8 18
9 47
10 5
11 3
12 51
13 38
14 3
15 14
16 32
17 2
18 15

About I. McCandlish

I. McCandlish is a scholar working on Animal Science and Zoology, Virology and Infectious Diseases, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (7 papers) and Parvovirus B19 Infection Studies (6 papers). The work is most often cited by research in Parasitology (317 citations), Virology (171 citations) and Infectious Diseases (513 citations). I. McCandlish has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include H. Cornwell, H. Thompson, A. Nash, Vanessa R. Barrs, Julia A. Beatty, Anja Kipar, J Macartney, Christopher F. Lowe, Nick Wright and G. Koptopoulos. Their work appears in journals such as Veterinary Record, Journal of Small Animal Practice and Journal of Zoo and Wildlife Medicine.

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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