Jessica Kasza

6.8k citations
155 papers · 3.7k indexed · 2 hit papers · h-index 33
Topics
Osteoarthritis Treatment and Mechanisms (47 papers)Statistical Methods in Clinical Trials (28 papers)Knee injuries and reconstruction techniques (25 papers)

In The Last Decade

Jessica Kasza

150 papers receiving 3.7k citations

Hit Papers

Effect of Intra-articular Platelet-Rich Plasma vs Placebo...20212026202220242021202250100150200

Peers

Jessica Kasza
Comparison fields: 5 of 163
  • Surgery 1.3k
  • Rheumatology 1.2k
  • Pharmacology 630
  • Biomedical Engineering 476
  • Statistics and Probability 420
Replace Dianne Bryant with:
Dianne Bryant Canada
George Peat United Kingdom
Caroline Brand Australia
Leo D. Roorda Netherlands
Ian A. Harris Australia
Jean‐Éric Tarride Canada
Dominik Golicki Poland
Paul Knipschild Netherlands
Rowland W. Chang United States
Alan Brnabic United States
Jessica Kasza relative to Dianne Bryant Canada Dianne Bryant's profile →
Citations per field
00.5×2.8×
Dianne Bryant · 1×
Citations per year

Countries citing papers authored by Jessica Kasza

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Kasza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Kasza

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Kasza. A scholar is included among the top collaborators of Jessica Kasza 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 Jessica Kasza. Jessica Kasza 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 0
2 1
3 2
4 2
5 15
6 14
7 10
8 19
9 6
10 27
11 89
12 6
13 17
14 4
15 40
16 3
17 11
18 12
19 86
20 34

About Jessica Kasza

Jessica Kasza is a scholar working on Statistics and Probability, Rheumatology and Statistics, Probability and Uncertainty, having authored 155 papers that have together received 3.7k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (47 papers), Statistical Methods in Clinical Trials (28 papers) and Knee injuries and reconstruction techniques (25 papers). The work is most often cited by research in Rheumatology (1.2k citations), Statistics and Probability (420 citations) and Orthopedics and Sports Medicine (360 citations). Jessica Kasza has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Kim L. Bennell, Rana S. Hinman, Andrew Forbes, Ben Metcalf, Rachel K Nelligan, Anthony Harris, Richard Hooper, Karla Hemming, Penny K. Campbell and Tim V. Wrigley. Their work appears in journals such as The Lancet, JAMA and Annals of Internal 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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