Anjali Krishnan

4.5k total citations · 2 hit papers
29 papers, 3.0k citations indexed

About

Anjali Krishnan is a scholar working on Cognitive Neuroscience, Social Psychology and Physiology. According to data from OpenAlex, Anjali Krishnan has authored 29 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 8 papers in Social Psychology and 6 papers in Physiology. Recurrent topics in Anjali Krishnan's work include Functional Brain Connectivity Studies (7 papers), Pain Management and Placebo Effect (6 papers) and Pain Mechanisms and Treatments (4 papers). Anjali Krishnan is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Pain Management and Placebo Effect (6 papers) and Pain Mechanisms and Treatments (4 papers). Anjali Krishnan collaborates with scholars based in United States, Canada and France. Anjali Krishnan's co-authors include Tor D. Wager, Choong‐Wan Woo, Hervé Abdi, Lynne J. Williams, Anthony R. McIntosh, Luke J. Chang, Peter J. Gianaros, Stephen B. Manuck, Mathieu Roy and Lauren Y. Atlas and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Anjali Krishnan

26 papers receiving 2.9k 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.

Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations

2014 936 citations Choong‐Wan Woo, Anjali Krishnan et al. NeuroImage profile →
Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review

2010 933 citations Anjali Krishnan, Lynne J. Williams et al. NeuroImage profile →

Peers

Anjali Krishnan

ECP

RNMI

PMH

Tommaso Costa Italy

Matthew A. Howard United Kingdom

Eric C. Porges United States

Felix Hoffstaedter Germany

Kimberly L. Ray United States

Keiichi Onoda Japan

Jean‐Marie Annoni Switzerland

Leila Haddad Germany

Olusola Ajilore United States

Jason S. Nomi United States

Tommaso Costa Italy

Anjali Krishnan

1.7k ×0.8

469 ×0.9

ECP

477 ×1.0

RNMI

486 ×1.1

PMH

301 ×0.8

Citations per year, relative to Anjali Krishnan Anjali Krishnan (= 1×) peers Tommaso Costa

Countries citing papers authored by Anjali Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Anjali Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjali Krishnan

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

20 of 20 papers shown

Krishnan, Anjali, et al.. (2024). Does major make a difference? Mental health literacy and its relation to college major in a diverse sample of undergraduate students. SHILAP Revista de lepidopterología. 4(1). 42–42. 4 indexed citations

Sheppard, Christine, et al.. (2024). Subjective cognitive decline and objective cognitive performance in older adults: A systematic review of longitudinal and cross‐sectional studies. Journal of Neuropsychology. 19(1). 98–114. 5 indexed citations

Schmitter‐Edgecombe, Maureen, Anjali Krishnan, Nadia Paré, et al.. (2024). Concurrent Validity of Performance-Based Measures of Daily Functioning with Cognitive Measures and Informant Reported Everyday Functioning. Archives of Clinical Neuropsychology. 40(3). 363–374.

Krishnan, Anjali, et al.. (2024). Incremental validity of the test of practical judgment (TOP-J) in the prediction of diagnosis in preclinical dementia. Aging Neuropsychology and Cognition. 32(3). 395–410.

Brandt, Stephan A., et al.. (2023). Mental Health Literacy and Its Relation to Sexual and Gender Minority Identity in a Diverse Sample of Undergraduate College Students. 4(1). 87–111. 1 indexed citations

Krishnan, Anjali, et al.. (2022). Multiblock discriminant correspondence analysis: Exploring group differences with structured categorical data. SHILAP Revista de lepidopterología. 7. 100100–100100. 1 indexed citations

Petre, Bogdan, Philip A. Kragel, Lauren Y. Atlas, et al.. (2022). A multistudy analysis reveals that evoked pain intensity representation is distributed across brain systems. PLoS Biology. 20(5). e3001620–e3001620. 11 indexed citations

Atlas, Lauren Y., Christian Büchel, Jason T. Buhle, et al.. (2022). Individual variability in brain representations of pain. Nature Neuroscience. 25(6). 749–759. 35 indexed citations

Rabin, Laura A., et al.. (2021). Development, item analysis, and initial reliability and validity of three forms of a multiple-choice mental health literacy assessment for college students (MHLA-c). Psychiatry Research. 300. 113897–113897. 10 indexed citations

10.

Rabin, Laura A., et al.. (2021). CORRELATES OF EXAM PERFORMANCE IN AN INTRODUCTORY STATISTICS COURSE: BASIC MATH SKILLS ALONG WITH SELF-REPORTED PSYCHOLOGICAL/BEHAVIORAL AND DEMOGRAPHIC VARIABLES. Statistics Education Research Journal. 20(1). 3–3. 4 indexed citations

11.

Geuter, Stephan, Elizabeth A. Reynolds Losin, Mathieu Roy, et al.. (2020). Multiple Brain Networks Mediating Stimulus–Pain Relationships in Humans. Cerebral Cortex. 30(7). 4204–4219. 39 indexed citations

12.

Yu, Hongbo, Leonie Koban, Luke J. Chang, et al.. (2020). A Generalizable Multivariate Brain Pattern for Interpersonal Guilt. Cerebral Cortex. 30(6). 3558–3572. 25 indexed citations

13.

Krishnan, Anjali, et al.. (2020). Improving access and quality of palliative care in Kerala: A cross-sectional study of providers in routine practice. Indian Journal of Palliative Care. 26(4). 500–500. 9 indexed citations

14.

Rabin, Laura A., et al.. (2018). USE OF THE MATH ASSESSMENT FOR COLLEGE STUDENTS (MACS) TO PREDICT PERFORMANCE IN AN UNDERGRADUATE STATISTICS COURSE. ICERI proceedings. 1. 20–20. 1 indexed citations

15.

López‐Solà, Marina, Leonie Koban, Anjali Krishnan, & Tor D. Wager. (2017). When pain really matters: A vicarious-pain brain marker tracks empathy for pain in the romantic partner. Neuropsychologia. 145. 106427–106427. 21 indexed citations

16.

Losin, Elizabeth A. Reynolds, Choong‐Wan Woo, Anjali Krishnan, et al.. (2015). Brain and psychological mediators of imitation: sociocultural versus physical traits. PubMed. 3(2). 93–111. 10 indexed citations

17.

Lindquist, Martin A., Anjali Krishnan, Marina López‐Solà, et al.. (2015). Group-regularized individual prediction: theory and application to pain. NeuroImage. 145(Pt B). 274–287. 55 indexed citations

18.

Chang, Luke J., Peter J. Gianaros, Stephen B. Manuck, Anjali Krishnan, & Tor D. Wager. (2015). A Sensitive and Specific Neural Signature for Picture-Induced Negative Affect. PLoS Biology. 13(6). e1002180–e1002180. 221 indexed citations

19.

Woo, Choong‐Wan, Anjali Krishnan, & Tor D. Wager. (2014). Cluster-extent based thresholding in fMRI analyses: Pitfalls and recommendations. NeuroImage. 91. 412–419. 936 indexed citations breakdown →

20.

Abdi, Hervé, Lynne J. Williams, Derek Beaton, et al.. (2012). Analysis of Regional Cerebral Blood Flow Data to Discriminate among Alzheimer's Disease, Frontotemporal Dementia, and Elderly Controls: A Multi-Block Barycentric Discriminant Analysis (MUBADA) Methodology. Journal of Alzheimer s Disease. 31(s3). S189–S201. 22 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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