Mahta Arbabi

483 total citations
9 papers, 310 citations indexed

About

Mahta Arbabi is a scholar working on Infectious Diseases, Molecular Biology and Dermatology. According to data from OpenAlex, Mahta Arbabi has authored 9 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Molecular Biology and 2 papers in Dermatology. Recurrent topics in Mahta Arbabi's work include COVID-19 Clinical Research Studies (2 papers), Gut microbiota and health (2 papers) and Long-Term Effects of COVID-19 (2 papers). Mahta Arbabi is often cited by papers focused on COVID-19 Clinical Research Studies (2 papers), Gut microbiota and health (2 papers) and Long-Term Effects of COVID-19 (2 papers). Mahta Arbabi collaborates with scholars based in Iran, Italy and United States. Mahta Arbabi's co-authors include Parnian Jamshidi, Mohammad Javad Nasiri, Yeganeh Farsi, Azin Tahvildari, Mehdi Mirsaeidi, Leonardo A. Sechi, Mukunthan Murthi, Sara Haddadi, João Felipe Mota and Amir Hashem Shahidi Bonjar and has published in prestigious journals such as Frontiers in Cellular and Infection Microbiology, Frontiers in Medicine and Biomedicines.

In The Last Decade

Mahta Arbabi

7 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mahta Arbabi Iran	6	156	106	95	36	35	9	310
Parnian Jamshidi Iran	11	206 1.3×	123 1.2×	118 1.2×	40 1.1×	39 1.1×	16	449
Azin Tahvildari Iran	6	153 1.0×	92 0.9×	96 1.0×	36 1.0×	33 0.9×	11	301
Abhigan Babu Shrestha Bangladesh	10	48 0.3×	67 0.6×	30 0.3×	18 0.5×	17 0.5×	72	341
Uzma Ishaq Pakistan	9	113 0.7×	43 0.4×	47 0.5×	8 0.2×	13 0.4×	24	256
Charalampos D. Moschopoulos Greece	8	202 1.3×	57 0.5×	113 1.2×	18 0.5×	6 0.2×	21	361
Anela Kellogg United States	8	116 0.7×	36 0.3×	34 0.4×	17 0.5×	9 0.3×	8	264
Jeffrey T. Kirchner United States	11	91 0.6×	23 0.2×	16 0.2×	29 0.8×	34 1.0×	31	409
Tahnee Bridson Australia	9	213 1.4×	32 0.3×	54 0.6×	27 0.8×	13 0.4×	14	417
Nishanth Dev India	11	78 0.5×	14 0.1×	37 0.4×	23 0.6×	10 0.3×	30	292
Gabriel Vallecillo Spain	8	106 0.7×	21 0.2×	24 0.3×	31 0.9×	15 0.4×	29	317

Countries citing papers authored by Mahta Arbabi

Since Specialization

Citations

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

Fields of papers citing papers by Mahta Arbabi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahta Arbabi

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

All Works

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9 of 9 papers shown

1.

Arbabi, Mahta, et al.. (2024). The Significance of Right‐Sided Precordial ECG Leads (V3R and V4R) in Assessing Right Ventricular Dysfunction: A Single Center Cross‐Sectional Study. Annals of Noninvasive Electrocardiology. 29(5). e70006–e70006.

2.

Jamshidi, Parnian, et al.. (2023). BCG Vaccination and the Risk of Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis. Pathogens. 12(4). 581–581. 4 indexed citations

3.

Hatami, Hossein, Parnian Jamshidi, Mahta Arbabi, et al.. (2023). Demographic, Epidemiologic, and Clinical Characteristics of Human Monkeypox Disease Pre- and Post-2022 Outbreaks: A Systematic Review and Meta-Analysis. Biomedicines. 11(3). 957–957. 22 indexed citations

4.

Farsi, Yeganeh, Azin Tahvildari, Mahta Arbabi, et al.. (2022). Diagnostic, Prognostic, and Therapeutic Roles of Gut Microbiota in COVID-19: A Comprehensive Systematic Review. Frontiers in Cellular and Infection Microbiology. 12. 804644–804644. 54 indexed citations

5.

Nasiri, Mohammad Javad, Sara Haddadi, Azin Tahvildari, et al.. (2020). COVID-19 Clinical Characteristics, and Sex-Specific Risk of Mortality: Systematic Review and Meta-Analysis. Frontiers in Medicine. 7. 459–459. 112 indexed citations

6.

Tahvildari, Azin, Mahta Arbabi, Yeganeh Farsi, et al.. (2020). Clinical Features, Diagnosis, and Treatment of COVID-19 in Hospitalized Patients: A Systematic Review of Case Reports and Case Series. Frontiers in Medicine. 7. 231–231. 42 indexed citations

7.

Tahvildari, Azin, Mahta Arbabi, Yeganeh Farsi, et al.. (2020). Clinical features, Diagnosis, and Treatment of COVID-19: A systematic review of case reports and case series. medRxiv. 6 indexed citations

8.

Jamshidi, Parnian, Azin Tahvildari, Yeganeh Farsi, et al.. (2019). Is there any association between gut microbiota and type 1 diabetes? A systematic review. Gut Pathogens. 11(1). 49–49. 70 indexed citations

9.

Arbabi, Mahta, et al.. (2013). EVALUATION OF DIAGNOSTIC VALUE OF NEUTROPHIL-LYMPHOCYTE RATIO IN ACUTE AND COMPLICATED APPENDICITIS OF ADULTS. 20(4). 33–39.

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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