Ankur Krishnan

2.6k total citations · 3 hit papers
12 papers, 779 citations indexed

About

Ankur Krishnan is a scholar working on Social Psychology, Dermatology and Psychiatry and Mental health. According to data from OpenAlex, Ankur Krishnan has authored 12 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Social Psychology, 3 papers in Dermatology and 3 papers in Psychiatry and Mental health. Recurrent topics in Ankur Krishnan's work include Dermatologic Treatments and Research (2 papers), Mental Health Treatment and Access (2 papers) and Tryptophan and brain disorders (2 papers). Ankur Krishnan is often cited by papers focused on Dermatologic Treatments and Research (2 papers), Mental Health Treatment and Access (2 papers) and Tryptophan and brain disorders (2 papers). Ankur Krishnan collaborates with scholars based in Canada, United States and Netherlands. Ankur Krishnan's co-authors include Brett D. Thombs, Andrea Benedetti, Yin Wu, Brooke Levis, Parash Mani Bhandari, Dipika Neupane, Zelalem Negeri, Ying Sun, Chen He and Mahrukh Imran and has published in prestigious journals such as JAMA, BMJ and Journal of Clinical Epidemiology.

In The Last Decade

Ankur Krishnan

11 papers receiving 767 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.

Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression

2020 330 citations Brooke Levis, Ying Sun et al. JAMA profile →
Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis

2021 177 citations Zelalem Negeri, Brooke Levis et al. BMJ profile →
Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis

2021 138 citations Yin Wu, Brooke Levis et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ankur Krishnan Canada	6	198	120	113	110	104	12	779
Yunhe Wang China	11	311 1.6×	127 1.1×	246 2.2×	106 1.0×	110 1.1×	40	1.4k
Dipika Neupane Canada	11	299 1.5×	155 1.3×	154 1.4×	144 1.3×	95 0.9×	14	901
Philipp Frank United Kingdom	13	222 1.1×	67 0.6×	66 0.6×	99 0.9×	67 0.6×	33	903
Çiçek Hocaoğlu Türkiye	16	290 1.5×	95 0.8×	63 0.6×	61 0.6×	159 1.5×	147	766
Sun Jae Jung South Korea	17	331 1.7×	78 0.7×	138 1.2×	125 1.1×	95 0.9×	100	1.1k
Tim J. Hartung Germany	14	217 1.1×	109 0.9×	123 1.1×	184 1.7×	131 1.3×	32	1.3k
Victoria Wells United Kingdom	8	191 1.0×	175 1.5×	91 0.8×	131 1.2×	110 1.1×	21	824
Debbie Tallon United Kingdom	14	130 0.7×	96 0.8×	135 1.2×	172 1.6×	85 0.8×	21	958
Hye Yoon Park South Korea	15	460 2.3×	71 0.6×	79 0.7×	113 1.0×	111 1.1×	59	812

Countries citing papers authored by Ankur Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Ankur Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankur Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of Ankur Krishnan. A scholar is included among the top collaborators of Ankur Krishnan 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 Ankur Krishnan. Ankur Krishnan 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:

12 of 12 papers shown

Cañedo-Ayala, Mara, Vanessa L. Cook, Geneviève Guillot, et al.. (2024). Oral health in systemic sclerosis: A scoping review. Journal of Scleroderma and Related Disorders. 10(1). 13–26. 1 indexed citations

Wu, Yin, Ying Sun, Brooke Levis, et al.. (2023). Depression screening tool accuracy individual participant data meta-analyses: data contribution was associated with multiple factors. Journal of Clinical Epidemiology. 162. 63–71.

Turner, Kimberly A., Jill Boruff, Marie‐Eve Carrier, et al.. (2022). Perceived Barriers and Facilitators of Using Synchronous Telerehabilitation of Physical and Occupational Therapy in Musculoskeletal Disorders: A Scoping Review. medRxiv. 3 indexed citations

Kwakkenbos, Linda, Richard S. Henry, Jill Boruff, et al.. (2021). Effects of non-pharmacological and non-surgical interventions on health outcomes in systemic sclerosis: protocol for a living systematic review. BMJ Open. 11(5). e047428–e047428. 3 indexed citations

Wu, Yin, Brooke Levis, Ying Sun, et al.. (2021). Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis. BMJ. 373. n972–n972. 138 indexed citations breakdown →

Gholizadeh, Shadi, Danielle B. Rice, Linda Kwakkenbos, et al.. (2021). Effects of cosmetic and other camouflage interventions on appearance-related and psychological outcomes among adults with visible differences in appearance: a systematic review. BMJ Open. 11(3). e046634–e046634. 5 indexed citations

Negeri, Zelalem, Brooke Levis, Ying Sun, et al.. (2021). Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis. BMJ. 375. n2183–n2183. 177 indexed citations breakdown →

Azar, Marleine, Andrea Benedetti, Kira E. Riehm, et al.. (2020). Individual participant data meta-analyses (IPDMA): data contribution was associated with trial corresponding author country, publication year, and journal impact factor. Journal of Clinical Epidemiology. 124. 16–23. 4 indexed citations

Levis, Brooke, Ying Sun, Chen He, et al.. (2020). Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression. JAMA. 323(22). 2290–2290. 330 indexed citations breakdown →

10.

Jiang, Yuting, Ankur Krishnan, Stephen J. Glatt, et al.. (2020). Patient Stratification Using Metabolomics to Address the Heterogeneity of Psychosis. Schizophrenia Bulletin Open. 1(1). 2 indexed citations

11.

Krishnan, Ankur, et al.. (2018). Biomarkers for major depressive and bipolar disorders using metabolomics: A systematic review. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 180(2). 122–137. 83 indexed citations

12.

Trakadis, Yannis, et al.. (2018). Machine learning in schizophrenia genomics, a case‐control study using 5,090 exomes. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 180(2). 103–112. 33 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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