Kate Tsiplova

769 citations
23 papers · 372 indexed · h-index 11
Topics
Health Systems, Economic Evaluations, Quality of Life (8 papers)Autism Spectrum Disorder Research (8 papers)Genomics and Rare Diseases (6 papers)

In The Last Decade

Kate Tsiplova

23 papers receiving 371 citations

Peers

Kate Tsiplova
Comparison fields: 5 of 65
  • Economics and Econometrics 134
  • Genetics 108
  • General Health Professions 74
  • Pediatrics, Perinatology and Child Health 74
  • Cognitive Neuroscience 56
Replace Karen Berg Brigham with:
Karen Berg Brigham France
Leo Waterston United States
Debra S. Morley United States
Marc A. Emerson United States
Kendall L. Umstead United States
Joseph M. Berg Canada
M Price Australia
Stephanie Luca Canada
Jennifer Hilgart United Kingdom
Daniele Carrieri United Kingdom
Kate Tsiplova relative to Karen Berg Brigham France Karen Berg Brigham's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kate Tsiplova

Since Specialization
Citations

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

Fields of papers citing papers by Kate Tsiplova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Tsiplova

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 2
4 1
5 9
6 9
7 3
8 3
9 16
10 33
11 18
12 17
13 51
14 16
15 27
16 49
17 2
18 33
19 11
20 1

About Kate Tsiplova

Kate Tsiplova is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Speech and Hearing, having authored 23 papers that have together received 372 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (8 papers), Autism Spectrum Disorder Research (8 papers) and Genomics and Rare Diseases (6 papers). The work is most often cited by research in Economics and Econometrics (134 citations), Genetics (108 citations) and Speech and Hearing (26 citations). Kate Tsiplova has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Wendy J. Ungar, Joseph Kwon, Jason Madan, Sung Wook Kim, Stavros Petrou, Tim Cooke, Christian R. Marshall, Feng Xie, Eleanor Pullenayegum and Isabel M. Smith. Their work appears in journals such as Gastroenterology, Journal of Autism and Developmental Disorders and Preventive 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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