Ina Smith

4.3k citations
70 papers · 2.3k · h-index 25

Impact in

  • Virology top 1%
    • Rabies epidemiology and control
    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology

Papers in

Ina Smith

64 papers receiving 2.2k citations

Peers

Ina Smith
Comparison fields: 5 of 82
  • Virology 432
  • Infectious Diseases 1.4k
  • Parasitology 326
  • Epidemiology 846
  • Public Health, Environmental and Occupational Health 559
Replace Frank T. Hufert with:
Frank T. Hufert Germany
Luigi Bertolotti Italy
Yǒng-Zhèn Zhāng China
Károly Erdélyi Hungary
Richard Suu‐Ire Ghana
Jacqueline Weyer South Africa
Karen L. Mansfield United Kingdom
Guodong Liang China
Donata Hoffmann Germany
Cadhla Firth United States
Ina Smith relative to Frank T. Hufert Germany Frank T. Hufert's profile →
Citations per field
00.5×1.5×2.1×
Frank T. Hufert · 1×
Citations per year

Countries citing papers authored by Ina Smith

Since Specialization
Citations

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

Fields of papers citing papers by Ina Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002244
2 2016228
3 2012208
4 2010153
5 2011101
6 200683
7 201174
8 200467
9 200664
10 200360
11 200157
12 200950
13 200244
14 201344
15 200940
16 201437
17 200736
18 199136
19 200135
20 201931

About Ina Smith

Ina Smith is a scholar working on Infectious Diseases, Epidemiology, Virology, Public Health, Environmental and Occupational Health and Ecology, Evolution, Behavior and Systematics, having authored 70 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral Infections and Vectors (38 papers), Rabies epidemiology and control (25 papers), Virology and Viral Diseases (24 papers), Viral gastroenteritis research and epidemiology (10 papers), Vector-Borne Animal Diseases (9 papers), Mosquito-borne diseases and control (9 papers), Animal Virus Infections Studies (7 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Virology (432 citations), Infectious Diseases (1.4k citations), Parasitology (326 citations), Epidemiology (846 citations) and Public Health, Environmental and Occupational Health (559 citations). Ina Smith has collaborated with scholars based in Australia, United States and Singapore. Frequent co-authors include Gregory A. Smith, Lin‐Fa Wang, Hume Field, Andrew F. van den Hurk, David McKay, M. F. Dohnt, Leonie J. Barnett, Meegan L. Symonds, Lee D. Smythe and Carmel Taylor. Their work appears in journals such as PLoS ONE, Viruses, Emerging infectious diseases, Transboundary and Emerging Diseases and Journal of General Virology.

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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