Mohammad Tabatabai

1.5k citations
70 papers · 948 · 1 hit paper · h-index 14

Impact in

Papers in

Mohammad Tabatabai

67 papers receiving 908 citations

Mohammad Tabatabai's Hit Papers

Training to reduce LGBTQ-related bias among medical, nursing, and dental students and providers: a systematic review 2019 · 240 citations
2400+2+4Years since publication50100150200

Peers

Mohammad Tabatabai
Comparison fields: 5 of 162
  • Modeling and Simulation 44
  • Social Psychology 182
  • Statistics and Probability 66
  • Infectious Diseases 88
  • Periodontics 20
Replace Amal Saki Malehi with:
Amal Saki Malehi Iran
Michele Carugno Italy
Pia Veldt Larsen Denmark
Daniela Zugna Italy
Christine Wallisch Austria
Tesfaye B. Mersha United States
Qingzhao Yu United States
Laura B. Balzer United States
Jingjing Yin United States
Kevin Gough Canada
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Citations per field
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Citations per year

Countries citing papers authored by Mohammad Tabatabai

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Tabatabai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mohammad Tabatabai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mohammad Tabatabai Line = papers co-authored together Mohammad Tabatabai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Training to reduce LGBTQ-related bias among medical, nursing, and dental students and providers: a systematic review
Hit paper breakdown →
2019240
2 200571
3 201968
4
Theoretical Biology and Medical Modelling
200732
5 201030
6 201028
7 202325
8 202120
9 202117
10 200717
11 202116
12 202016
13 201016
14 201016
15 201813
16 202313
17 201413
18 201613
19 198813
20 202212

About Mohammad Tabatabai

Mohammad Tabatabai is a scholar working on Statistics and Probability, Infectious Diseases, Molecular Biology, Epidemiology and Health, having authored 70 papers that have together received 948 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (10 papers), Statistical Distribution Estimation and Applications (5 papers), Concrete Corrosion and Durability (5 papers), Infrastructure Maintenance and Monitoring (5 papers), Air Quality and Health Impacts (4 papers), Statistical Methods and Inference (4 papers), Opioid Use Disorder Treatment (4 papers) and LGBTQ Health, Identity, and Policy (4 papers). The work is most often cited by research in Modeling and Simulation (44 citations), Social Psychology (182 citations), Statistics and Probability (66 citations), Infectious Diseases (88 citations) and Periodontics (20 citations). Mohammad Tabatabai has collaborated with scholars based in United States and Canada. Frequent co-authors include Zoran Bursac, Paul D. Juárez, Aramandla Ramesh, Karan P. Singh, Patricia Matthews-Juarez, David Williams, Robert L Cooper, Wansoo Im, Thomas A. Arcury and Marybeth Shinn. Their work appears in journals such as PLoS ONE, Journal of Health Care for the Poor and Underserved, Vaccines, Journal of Primary Care & Community Health and Theoretical Biology and Medical Modelling.

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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