Mohammad H. Rahbar

8.2k total citations · 1 hit paper
167 papers, 5.6k citations indexed

About

Mohammad H. Rahbar is a scholar working on Epidemiology, Health, Toxicology and Mutagenesis and Emergency Medicine. According to data from OpenAlex, Mohammad H. Rahbar has authored 167 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Epidemiology, 24 papers in Health, Toxicology and Mutagenesis and 24 papers in Emergency Medicine. Recurrent topics in Mohammad H. Rahbar's work include Trauma and Emergency Care Studies (24 papers), Acute Ischemic Stroke Management (21 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (20 papers). Mohammad H. Rahbar is often cited by papers focused on Trauma and Emergency Care Studies (24 papers), Acute Ischemic Stroke Management (21 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (20 papers). Mohammad H. Rahbar collaborates with scholars based in United States, Jamaica and Pakistan. Mohammad H. Rahbar's co-authors include John B. Holcomb, Erin E. Fox, Deborah J. del Junco, Martin A. Schreiber, Bryan A. Cotton, Mitchell J. Cohen, Peter Muskat, Charles E. Wade, Eileen M. Bulger and Karen J. Brasel and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Circulation Research.

In The Last Decade

Mohammad H. Rahbar

162 papers receiving 5.3k 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 Prospective, Observational, Multicenter, Major Trauma Transfusion (PROMMTT) Study

2012 733 citations John B. Holcomb, Deborah J. del Junco et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mohammad H. Rahbar United States	40	1.3k	1.3k	689	657	647	167	5.6k
Douglas K. Miller United States	49	496 0.4×	664 0.5×	1.1k 1.6×	848 1.3×	728 1.1×	170	10.3k
Nicholas S Hopkinson United Kingdom	52	550 0.4×	222 0.2×	536 0.8×	689 1.0×	403 0.6×	292	9.8k
Chung‐Chou H. Chang United States	44	252 0.2×	872 0.7×	808 1.2×	954 1.5×	546 0.8×	183	5.3k
Álvaro Nagib Atallah Brazil	42	346 0.3×	280 0.2×	736 1.1×	517 0.8×	1.5k 2.3×	202	6.6k
Peter Homel United States	48	495 0.4×	967 0.8×	1.0k 1.5×	1.3k 1.9×	2.3k 3.6×	206	8.9k
Jean‐Paul Collet Canada	38	351 0.3×	430 0.3×	856 1.2×	1.5k 2.2×	630 1.0×	128	6.0k
Maria M. Brooks United States	50	172 0.1×	287 0.2×	1.0k 1.5×	956 1.5×	2.4k 3.6×	282	8.8k
Hala Tamim Canada	41	123 0.1×	399 0.3×	1.2k 1.7×	842 1.3×	446 0.7×	132	4.6k
Robert J. Anderson United States	53	267 0.2×	423 0.3×	471 0.7×	861 1.3×	2.1k 3.2×	206	10.4k
Roderick MacDonald United States	55	199 0.1×	303 0.2×	545 0.8×	1.6k 2.4×	1.0k 1.6×	181	9.2k

Countries citing papers authored by Mohammad H. Rahbar

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad H. Rahbar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammad H. Rahbar. 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 Mohammad H. Rahbar. The network helps show where Mohammad H. Rahbar may publish in the future.

Co-authorship network of co-authors of Mohammad H. Rahbar

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad H. Rahbar. A scholar is included among the top collaborators of Mohammad H. Rahbar 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 Mohammad H. Rahbar. Mohammad H. Rahbar 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

Gensler, Lianne S., Michael M. Ward, Mark C. Hwang, et al.. (2025). Associations of sociodemographic, clinical factors and HLA-B alleles with enthesitis and peripheral arthritis in patients with ankylosing spondylitis. RMD Open. 11(1). e004589–e004589. 1 indexed citations

Samms‐Vaughan, Maureen, Sepideh Saroukhani, Jan Bressler, et al.. (2024). Factors associated with blood mercury concentrations and their interactions with three glutathione S-transferase genes (GSTT1, GSTM1, and GSTP1): an exposure assessment study of typically developing Jamaican children. BMC Pediatrics. 24(1). 14–14. 1 indexed citations

Liu, Yuying, Thomas A. Auchtung, Amirali Tahanan, et al.. (2022). Fungi: Friend or Foe? A Mycobiome Evaluation in Children With Autism and Gastrointestinal Symptoms. Insecta mundi. 5 indexed citations

Hwang, Mark C., John D. Reveille, Lianne S. Gensler, et al.. (2022). Why Do Some Patients Have Severe Sacroiliac Disease But No Syndesmophytes in Ankylosing Spondylitis? Data From a Nested Case-Control Study. The Journal of Rheumatology. 50(3). jrheum.211230–jrheum.211230. 1 indexed citations

Hwang, Mark C., MinJae Lee, Lianne S. Gensler, et al.. (2021). Identifying trajectories of radiographic spinal disease in ankylosing spondylitis: a 15-year follow-up study of the PSOAS cohort. Lara D. Veeken. 61(5). 2079–2087. 7 indexed citations

Noser, Elizabeth A., Mohammad H. Rahbar, Anjail Sharrief, et al.. (2021). Leveraging Multimedia Patient Engagement to Address Minority Cerebrovascular Health Needs: Prospective Observational Study. Journal of Medical Internet Research. 23(8). e28748–e28748. 3 indexed citations

Reddy, Sujan, Nikunj Satani, Jennifer E. S. Beauchamp, et al.. (2021). A meta‐analysis of the global impact of the COVID‐19 pandemic on stroke care & the Houston Experience. Annals of Clinical and Translational Neurology. 8(4). 929–937. 10 indexed citations

Hwang, Mark C., MinJae Lee, Lianne S. Gensler, et al.. (2020). Longitudinal associations between depressive symptoms and clinical factors in ankylosing spondylitis patients: analysis from an observational cohort. Rheumatology International. 40(7). 1053–1061. 9 indexed citations

Reddy, Sujan, Tzu-Ching Wu, Mohammad H. Rahbar, et al.. (2020). Lack of Racial, Ethnic, and Sex Disparities in Ischemic Stroke Care Metrics within a Tele-Stroke Network. Journal of Stroke and Cerebrovascular Diseases. 30(1). 105418–105418. 12 indexed citations

10.

Rahbar, Mohammad H., Maureen Samms‐Vaughan, MinJae Lee, et al.. (2020). Interaction between a mixture of heavy metals (lead, mercury, arsenic, cadmium, manganese, aluminum) and GSTP1, GSTT1, and GSTM1 in relation to autism spectrum disorder. Research in autism spectrum disorders. 79. 101681–101681. 22 indexed citations

11.

Reddy, Sujan, Elliott Friedman, Tzu‐Ching Wu, et al.. (2020). Rapid Infarct Progression in Anterior Circulation Large Vessel Occlusion Ischemic Stroke Patients During Inter-Facility Transfer. Journal of Stroke and Cerebrovascular Diseases. 29(12). 105308–105308. 15 indexed citations

12.

Lee, MinJae, et al.. (2019). A latent class based imputation method under Bayesian quantile regression framework using asymmetric Laplace distribution for longitudinal medication usage data with intermittent missing values. Journal of Biopharmaceutical Statistics. 30(1). 160–177. 1 indexed citations

13.

Diaz‐Garelli, Franck, Elmer V. Bernstam, MinJae Lee, et al.. (2019). DataGauge: A Practical Process for Systematically Designing and Implementing Quality Assessments of Repurposed Clinical Data. SHILAP Revista de lepidopterología. 7(1). 32–32. 14 indexed citations

14.

Lee, MinJae, Mohammad H. Rahbar, Maureen Samms‐Vaughan, et al.. (2019). A generalized weighted quantile sum approach for analyzing correlated data in the presence of interactions. Biometrical Journal. 61(4). 934–954. 20 indexed citations

15.

Lee, MinJae, et al.. (2018). A nonparametric method for assessment of interactions in a median regression model for analyzing right censored data. Statistical Methods in Medical Research. 28(4). 1170–1187. 1 indexed citations

16.

Lee, MinJae, Mohammad H. Rahbar, Matthew A. Brown, et al.. (2018). A multiple imputation method based on weighted quantile regression models for longitudinal censored biomarker data with missing values at early visits. BMC Medical Research Methodology. 18(1). 8–8. 11 indexed citations

17.

Cohen, Mitchell J., Matthew Kutcher, Mary F. Nelson, et al.. (2013). Clinical and mechanistic drivers of acute traumatic coagulopathy. The Journal of Trauma: Injury, Infection, and Critical Care. 75(Supplement 1). S40–S47. 145 indexed citations

18.

Hubbard, Alan, John B. Holcomb, Martin A. Schreiber, et al.. (2013). Time-dependent prediction and evaluation of variable importance using superlearning in high-dimensional clinical data. The Journal of Trauma: Injury, Infection, and Critical Care. 75(Supplement 1). S53–S60. 21 indexed citations

19.

Trickey, Amber W., Erin E. Fox, Deborah J. del Junco, et al.. (2013). The impact of missing trauma data on predicting massive transfusion. The Journal of Trauma: Injury, Infection, and Critical Care. 75(Supplement 1). S68–S74. 17 indexed citations

20.

Rahbar, Mohammad H., Deborah J. del Junco, Jing Ning, et al.. (2013). A latent class model for defining severe hemorrhage. The Journal of Trauma: Injury, Infection, and Critical Care. 75(Supplement 1). S82–S88. 15 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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