Maya B. Mathur

7.4k total citations · 3 hit papers
103 papers, 3.5k citations indexed

About

Maya B. Mathur is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Ecology. According to data from OpenAlex, Maya B. Mathur has authored 103 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Statistics and Probability, 22 papers in Statistics, Probability and Uncertainty and 12 papers in Ecology. Recurrent topics in Maya B. Mathur's work include Meta-analysis and systematic reviews (22 papers), Advanced Causal Inference Techniques (16 papers) and Statistical Methods in Clinical Trials (14 papers). Maya B. Mathur is often cited by papers focused on Meta-analysis and systematic reviews (22 papers), Advanced Causal Inference Techniques (16 papers) and Statistical Methods in Clinical Trials (14 papers). Maya B. Mathur collaborates with scholars based in United States, United Kingdom and Canada. Maya B. Mathur's co-authors include Tyler J. VanderWeele, David B. Reichling, Peng Ding, Corinne A. Riddell, Ying Chen, Nayer Khazeni, Manisha Desai, Christopher D. Gardner, Ariel Linden and Dale P. Sandler and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Maya B. Mathur

95 papers receiving 3.4k 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.

Web Site and R Package for Computing E-values

2018 493 citations Maya B. Mathur, Peng Ding et al. Epidemiology profile →
Investigating the replicability of preclinical cancer biology

2021 170 citations Maya B. Mathur et al. profile →
Nurse Burnout and Patient Safety, Satisfaction, and Quality of Care

2024 53 citations Maya B. Mathur et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maya B. Mathur United States	29	559	349	330	291	290	103	3.5k
José A López-López Spain	32	526 0.9×	373 1.1×	384 1.2×	293 1.0×	406 1.4×	111	5.3k
Jaime Peters United Kingdom	25	254 0.5×	357 1.0×	494 1.5×	570 2.0×	241 0.8×	70	6.7k
Juan Botella Spain	26	584 1.0×	341 1.0×	405 1.2×	172 0.6×	420 1.4×	110	5.4k
James E. Pustejovsky United States	31	443 0.8×	304 0.9×	398 1.2×	164 0.6×	386 1.3×	76	4.2k
Lidia R. Arends Netherlands	39	328 0.6×	280 0.8×	781 2.4×	405 1.4×	214 0.7×	112	6.5k
Joel B. Greenhouse United States	40	571 1.0×	404 1.2×	487 1.5×	431 1.5×	365 1.3×	97	6.2k
Sue Finch Australia	25	317 0.6×	234 0.7×	163 0.5×	427 1.5×	233 0.8×	66	3.3k
Emily A. Hennessy United States	21	277 0.5×	556 1.6×	204 0.6×	135 0.5×	211 0.7×	67	1.8k
S. Natasha Beretvas United States	36	693 1.2×	238 0.7×	163 0.5×	170 0.6×	504 1.7×	124	4.5k
Katherine A. Wilson United States	18	523 0.9×	639 1.8×	511 1.5×	186 0.6×	387 1.3×	37	3.5k

Countries citing papers authored by Maya B. Mathur

Since Specialization

Citations

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

Fields of papers citing papers by Maya B. Mathur

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya B. Mathur. 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 Maya B. Mathur. The network helps show where Maya B. Mathur may publish in the future.

Co-authorship network of co-authors of Maya B. Mathur

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

All Works

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20 of 20 papers shown

Braginsky, Mika, et al.. (2025). Effect of a portion-size default nudge on meat consumption and diner satisfaction: controlled experiments in Stanford University dining halls. BMC Public Health. 25(1). 1434–1434. 1 indexed citations

Mathur, Maya B., Daniel T. Blumstein, Jeff A. Sikich, et al.. (2024). Human recreation influences activity of a large carnivore in an urban landscape. Biological Conservation. 301. 110812–110812. 1 indexed citations

Zhang, Guoqiang, Per Tynelius, Maya B. Mathur, et al.. (2024). Population Trends and Individual Fluidity of Sexual Identity Among Stockholm County Residents. JAMA Network Open. 7(12). e2447627–e2447627. 1 indexed citations

Zettersten, Martin, Christopher Martin Mikkelsen Cox, Christina Bergmann, et al.. (2024). Evidence for Infant-directed Speech Preference Is Consistent Across Large-scale, Multi-site Replication and Meta-analysis. Open Mind. 8. 439–461. 3 indexed citations

Mathur, Maya B., et al.. (2024). Reanalysis of “A longitudinal study of meat reduction over time in the UK”. Food Quality and Preference. 123. 105324–105324. 1 indexed citations

Mathur, Maya B. & Vandana Mathur. (2024). Toward evidence-based communication on overweight body mass index and mortality. BMC Medicine. 22(1). 183–183.

Mathur, Maya B., et al.. (2023). Eleven years of student replication projects provide evidence on the correlates of replicability in psychology. Royal Society Open Science. 10(11). 231240–231240. 5 indexed citations

Cai, Zhuo Ran, Tiffani J. Johnson, Jessica Thompson, et al.. (2023). A Social Media–Based Public Health Campaign to Reduce Indoor Tanning in High-Risk Populations. SHILAP Revista de lepidopterología. 2(3). 100123–100123. 2 indexed citations

Li, Yi, Maya B. Mathur, Daniel H. Solomon, et al.. (2023). Effect Measure Modification by Covariates in Mediation: Extending Regression-based Causal Mediation Analysis. Epidemiology. 34(5). 661–672. 10 indexed citations

10.

Li, Yi, Kazuki Yoshida, Jay S. Kaufman, & Maya B. Mathur. (2023). A brief primer on conducting regression-based causal mediation analysis.. Psychological Trauma Theory Research Practice and Policy. 15(6). 930–938. 28 indexed citations

11.

Marcone, Alessandra, et al.. (2023). Effects of an educational planetary plate graphic on meat consumption in a Stanford University dining hall: a randomized controlled trial. BMC Nutrition. 9(1). 106–106. 1 indexed citations

12.

Maier, Maximilian, Tyler J. VanderWeele, & Maya B. Mathur. (2022). Using selection models to assess sensitivity to publication bias: A tutorial and call for more routine use. Campbell Systematic Reviews. 18(3). e1256–e1256. 35 indexed citations

13.

Ling, Albee Y., et al.. (2021). How to Apply Multiple Imputation in Propensity Score Matching with Partially Observed Confounders: A Simulation Study and Practical Recommendations. Human Biology. 19(1). 13 indexed citations

14.

Luo, Ying, Maya B. Mathur, Panagiotis Anagnostis, et al.. (2021). Menopausal hormone therapy and women’s health: An umbrella review. PLoS Medicine. 18(8). e1003731–e1003731. 100 indexed citations

15.

Bergmann, Christina, Michael C. Frank, George Kachergis, et al.. (2020). ManyBabies Africa IDS. OSF Preprints (OSF Preprints). 2 indexed citations

16.

Mathur, Maya B. & Tyler J. VanderWeele. (2019). Finding Common Ground in Meta-Analysis “Wars” on Violent Video Games. Perspectives on Psychological Science. 14(4). 705–708. 58 indexed citations

17.

Afghahi, Anosheh, Natasha Purington, Summer S. Han, et al.. (2018). Higher Absolute Lymphocyte Counts Predict Lower Mortality from Early-Stage Triple-Negative Breast Cancer. Clinical Cancer Research. 24(12). 2851–2858. 67 indexed citations

18.

Hardwicke, Tom E, Maya B. Mathur, Kyle MacDonald, et al.. (2018). Data availability, reusability, and analytic reproducibility: evaluating the impact of a mandatory open data policy at the journal Cognition. Royal Society Open Science. 5(8). 180448–180448. 183 indexed citations

19.

Mathur, Maya B., Peng Ding, Corinne A. Riddell, & Tyler J. VanderWeele. (2018). Web Site and R Package for Computing E-values. Epidemiology. 29(5). e45–e47. 493 indexed citations breakdown →

20.

Montez‐Rath, Maria E., Kristopher Kapphahn, Maya B. Mathur, et al.. (2017). Guidelines for generating right-censored outcomes from a Cox model extended to accommodate time-varying covariates. Journal of Modern Applied Statistical Methods. 16(1). 86–106. 3 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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