Julia Bondar

802 total citations · 2 hit papers
5 papers, 476 citations indexed

About

Julia Bondar is a scholar working on Social Psychology, General Health Professions and Experimental and Cognitive Psychology. According to data from OpenAlex, Julia Bondar has authored 5 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Social Psychology, 2 papers in General Health Professions and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Julia Bondar's work include Mental Health Treatment and Access (2 papers), Mental Health Research Topics (2 papers) and Child and Adolescent Health (1 paper). Julia Bondar is often cited by papers focused on Mental Health Treatment and Access (2 papers), Mental Health Research Topics (2 papers) and Child and Adolescent Health (1 paper). Julia Bondar collaborates with scholars based in United States, United Kingdom and Germany. Julia Bondar's co-authors include Adam M. Chekroud, Robert J. DeRubeis, Zachary D. Cohen, Gavin Doherty, Jaime Delgadillo, Dominic Dwyer, Marjolein Fokkema, Danielle Belgrave, Akash R. Wasil and Karmel W. Choi and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and JAMA Network Open.

In The Last Decade

Julia Bondar

5 papers receiving 460 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The promise of machine learning in predicting treatment outcomes in psychiatry

2021 288 citations Adam M. Chekroud, Julia Bondar et al. World Psychiatry profile →
Illusory generalizability of clinical prediction models

2024 111 citations Adam M. Chekroud, Matt Hawrilenko et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julia Bondar United States	5	178	110	106	88	71	5	476
Alexis Bourla France	12	155 0.9×	89 0.8×	205 1.9×	160 1.8×	72 1.0×	28	575
Michael V. Heinz United States	11	167 0.9×	48 0.4×	160 1.5×	159 1.8×	27 0.4×	37	481
Marta M. Maslej Canada	13	120 0.7×	33 0.3×	41 0.4×	70 0.8×	90 1.3×	30	388
Thomas D. Hull United States	13	155 0.9×	37 0.3×	207 2.0×	177 2.0×	35 0.5×	39	573
Kingsada Phraxayavong Canada	7	82 0.5×	84 0.8×	89 0.8×	46 0.5×	137 1.9×	26	320
Min Jhon South Korea	15	115 0.6×	46 0.4×	75 0.7×	261 3.0×	121 1.7×	60	701
Kfir Asraf Israel	11	169 0.9×	63 0.6×	74 0.7×	145 1.6×	38 0.5×	28	574
Kenneth C. Kirkby Australia	13	79 0.4×	41 0.4×	63 0.6×	131 1.5×	136 1.9×	31	569
Robert Moulder United States	12	126 0.7×	100 0.9×	25 0.2×	57 0.6×	56 0.8×	56	505
Patience Gallagher United States	9	62 0.3×	59 0.5×	25 0.2×	69 0.8×	52 0.7×	12	432

Countries citing papers authored by Julia Bondar

Since Specialization

Citations

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

Fields of papers citing papers by Julia Bondar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Bondar

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Chekroud, Adam M., Matt Hawrilenko, Julia Bondar, et al.. (2024). Illusory generalizability of clinical prediction models. Science. 383(6679). 164–167. 111 indexed citations breakdown →

2.

Wedderburn, Catherine J., Julia Bondar, Raymond T. Nhapi, et al.. (2024). Risk and rates of hospitalisation in young children: A prospective study of a South African birth cohort. SHILAP Revista de lepidopterología. 4(1). e0002754–e0002754. 5 indexed citations

3.

Bondar, Julia, Cecina Babich Morrow, Ralitza Gueorguieva, et al.. (2022). Clinical and Financial Outcomes Associated With a Workplace Mental Health Program Before and During the COVID-19 Pandemic. JAMA Network Open. 5(6). e2216349–e2216349. 30 indexed citations

4.

Chekroud, Adam M., Julia Bondar, Jaime Delgadillo, et al.. (2021). The promise of machine learning in predicting treatment outcomes in psychiatry. World Psychiatry. 20(2). 154–170. 288 indexed citations breakdown →

5.

Bondar, Julia, Arthur Caye, Adam M. Chekroud, & Christian Kieling. (2020). Symptom clusters in adolescent depression and differential response to treatment: a secondary analysis of the Treatment for Adolescents with Depression Study randomised trial. The Lancet Psychiatry. 7(4). 337–343. 42 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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