Ina Jazić

590 total citations · 1 hit paper
9 papers, 321 citations indexed

About

Ina Jazić is a scholar working on Statistics and Probability, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ina Jazić has authored 9 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Surgery and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ina Jazić's work include Advanced Causal Inference Techniques (4 papers), Statistical Methods and Inference (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Ina Jazić is often cited by papers focused on Advanced Causal Inference Techniques (4 papers), Statistical Methods and Inference (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Ina Jazić collaborates with scholars based in United States, France and China. Ina Jazić's co-authors include Victoria Wang, Curtis Huttenhower, Thomas S. Risch, Levi Waldron, Benjamin Haibe‐Kains, Giovanni Parmigiani, Markus Riester, Svitlana Tyekucheva, Michael J. Birrer and Sebastien Haneuse and has published in prestigious journals such as New England Journal of Medicine, JNCI Journal of the National Cancer Institute and Biometrics.

In The Last Decade

Ina Jazić

9 papers receiving 314 citations

Hit Papers

Selective Inhibition of Na V 1.8 with VX-548 for Acute Pain 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ina Jazić United States 6 126 71 38 31 30 9 321
Tun Kuan Yeo Singapore 15 83 0.7× 41 0.6× 9 0.2× 42 1.4× 24 0.8× 33 629
Cadmon K.P. Lim Hong Kong 10 201 1.6× 60 0.8× 32 0.8× 22 0.7× 79 2.6× 28 469
Miguel Carmona United Kingdom 4 308 2.4× 46 0.6× 43 1.1× 12 0.4× 28 0.9× 7 539
Alfredo Miranda United Kingdom 2 302 2.4× 45 0.6× 43 1.1× 12 0.4× 23 0.8× 2 507
Luca Fumis United Kingdom 2 302 2.4× 45 0.6× 43 1.1× 12 0.4× 23 0.8× 4 507
Emily A. King United States 4 241 1.9× 34 0.5× 25 0.7× 4 0.1× 24 0.8× 6 417
Russell Wada United States 8 136 1.1× 42 0.6× 17 0.4× 4 0.1× 70 2.3× 16 391
Ruchi Patel United States 8 122 1.0× 73 1.0× 7 0.2× 13 0.4× 88 2.9× 21 557
M Bennetts United Kingdom 5 51 0.4× 35 0.5× 32 0.8× 17 0.5× 79 2.6× 8 324
Johanne Marie Justesen Denmark 14 162 1.3× 93 1.3× 65 1.7× 4 0.1× 45 1.5× 20 531

Countries citing papers authored by Ina Jazić

Since Specialization
Citations

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

Fields of papers citing papers by Ina Jazić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ina Jazić

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

All Works

9 of 9 papers shown
1.
Winkle, Peter, Todd Bertoch, Matthew W. Swisher, et al.. (2025). Suzetrigine, a Non-Opioid NaV1.8 Inhibitor With Broad Applicability for Moderate-to-Severe Acute Pain: A Phase 3 Single-Arm Study for Surgical or Non-Surgical Acute Pain. Journal of Pain Research. Volume 18. 1569–1576. 10 indexed citations
2.
Jones, J. W., Darin Correll, Sandra Lechner, et al.. (2023). Selective Inhibition of Na V 1.8 with VX-548 for Acute Pain. New England Journal of Medicine. 389(5). 393–405. 110 indexed citations breakdown →
3.
Jazić, Ina, Stephanie J. Lee, & Sebastien Haneuse. (2020). Estimation and inference for semi-competing risks based on data from a nested case-control study. Statistical Methods in Medical Research. 29(11). 3326–3339. 2 indexed citations
4.
Wang, Xuan, et al.. (2020). Developing and evaluating risk prediction models with panel current status data. Biometrics. 77(2). 599–609. 1 indexed citations
5.
Jazić, Ina, Sebastien Haneuse, Benjamin French, Gaëtan MacGrogan, & Virginie Rondeau. (2019). Design and analysis of nested case–control studies for recurrent events subject to a terminal event. Statistics in Medicine. 38(22). 4348–4362. 3 indexed citations
7.
Jazić, Ina, Deborah Schrag, Daniel J. Sargent, & Sebastien Haneuse. (2016). Beyond Composite Endpoints Analysis: Semicompeting Risks as an Underutilized Framework for Cancer Research. JNCI Journal of the National Cancer Institute. 108(12). djw154–djw154. 16 indexed citations
8.
Haneuse, Sebastien, Andy Bogart, Ina Jazić, et al.. (2015). Learning About Missing Data Mechanisms in Electronic Health Records-based Research. Epidemiology. 27(1). 82–90. 22 indexed citations
9.
Riester, Markus, Benjamin Haibe‐Kains, Thomas S. Risch, et al.. (2013). curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome. Database. 2013. bat013–bat013. 127 indexed citations

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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