Mohammad Bayat

3.7k total citations
156 papers, 2.8k citations indexed

About

Mohammad Bayat is a scholar working on Radiology, Nuclear Medicine and Imaging, Rehabilitation and Insect Science. According to data from OpenAlex, Mohammad Bayat has authored 156 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Radiology, Nuclear Medicine and Imaging, 60 papers in Rehabilitation and 36 papers in Insect Science. Recurrent topics in Mohammad Bayat's work include Laser Applications in Dentistry and Medicine (107 papers), Wound Healing and Treatments (60 papers) and Bee Products Chemical Analysis (36 papers). Mohammad Bayat is often cited by papers focused on Laser Applications in Dentistry and Medicine (107 papers), Wound Healing and Treatments (60 papers) and Bee Products Chemical Analysis (36 papers). Mohammad Bayat collaborates with scholars based in Iran, United States and South Africa. Mohammad Bayat's co-authors include Abdollah Amini, Sufan Chien, Seyed Kamran Ghoreishi, Mohammad‐Amin Abdollahifar, Abbas Piryaei, Ramin Pouriran, Zhaleh Mohsenifar, Mohammad Esmaeelinejad, Fatemeh Zare and Ali Ezzati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and The FASEB Journal.

In The Last Decade

Mohammad Bayat

151 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammad Bayat Iran 32 1.7k 921 476 433 348 156 2.8k
Alena Ribeiro Alves Peixoto Medrado Brazil 13 676 0.4× 734 0.8× 285 0.6× 189 0.4× 259 0.7× 102 2.1k
Sufan Chien United States 27 609 0.4× 660 0.7× 177 0.4× 163 0.4× 402 1.2× 118 2.4k
Traci A. Wilgus United States 28 278 0.2× 1.6k 1.7× 732 1.5× 100 0.2× 744 2.1× 47 3.5k
Dongqing Li China 26 150 0.1× 1.6k 1.8× 466 1.0× 138 0.3× 1.1k 3.2× 66 4.1k
Maria Witte Germany 22 247 0.1× 1.2k 1.3× 134 0.3× 83 0.2× 476 1.4× 53 3.0k
Cheng‐Che E. Lan Taiwan 26 305 0.2× 389 0.4× 800 1.7× 83 0.2× 463 1.3× 89 2.5k
Michael Schäffer Germany 23 167 0.1× 714 0.8× 119 0.3× 94 0.2× 296 0.9× 58 2.1k
Heiko Kämpfer Germany 24 148 0.1× 990 1.1× 280 0.6× 59 0.1× 804 2.3× 26 2.6k
Ermelindo C. Leal Portugal 31 192 0.1× 1.1k 1.2× 103 0.2× 64 0.1× 786 2.3× 56 2.7k
Alan D. Widgerow United States 30 144 0.1× 841 0.9× 465 1.0× 53 0.1× 337 1.0× 148 2.5k

Countries citing papers authored by Mohammad Bayat

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Bayat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Bayat

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

All Works

20 of 20 papers shown
1.
2.
Zare, Fatemeh, et al.. (2021). Simultaneous Treatment of Photobiomodulation and Demineralized Bone Matrix With Adipose-Derived Stem Cells Improve Bone Healing in an osteoporotic bone defect. Journal of lasers in medical sciences. 12(1). e41–e41. 10 indexed citations
3.
Bayat, Mohammad, et al.. (2019). Is Dextrose Prolotherapy Superior To Corticosteroid Injection In Patients With Chronic Lateral Epicondylitis?: A Randomized Clinical Trial. SHILAP Revista de lepidopterología. 9 indexed citations
4.
Amini, Abdollah, Mohammad‐Amin Abdollahifar, Seyed Kamran Ghoreishi, et al.. (2018). Effects of Photobiomodulation on Degranulation and Number of Mast Cells and Wound Strength in Skin Wound Healing of Streptozotocin-Induced Diabetic Rats. Photomedicine and Laser Surgery. 36(8). 415–423. 42 indexed citations
5.
Farahani, Reza Mastery, Mohammad‐Amin Abdollahifar, Mahdi Ghatrehsamani, et al.. (2018). Evaluation of the Effects of Photobiomodulation on Partial Osteotomy in Streptozotocin-Induced Diabetes in Rats. Photomedicine and Laser Surgery. 36(8). 406–414. 6 indexed citations
6.
7.
Abdollahifar, Mohammad‐Amin, et al.. (2017). Evaluation of the Effects of Photobiomodulation on Bone Healing in Healthy and Streptozotocin-Induced Diabetes in Rats. Photomedicine and Laser Surgery. 35(10). 537–545. 10 indexed citations
8.
Bayat, Mohammad, et al.. (2017). Presenting a Method to Improve Bone Quality Through Stimulation of Osteoporotic Mesenchymal Stem Cells by Low-Level Laser Therapy. Photomedicine and Laser Surgery. 35(11). 622–628. 7 indexed citations
9.
10.
Ezzati, Ali, et al.. (2010). Low-Level Laser Therapy with a Pulsed Infrared Laser Accelerates Second-Degree Burn Healing in Rat: A Clinical and Microbiologic Study. Photomedicine and Laser Surgery. 28(5). 603–611. 36 indexed citations
11.
Bayat, Mohammad, et al.. (2009). The Effects of Infrared Low-Level Laser Therapy on Healing of Partial Osteotomy of Tibia in Streptozotocin-Induced Diabetic Rats. Photomedicine and Laser Surgery. 27(4). 641–646. 17 indexed citations
12.
Bayat, Mohammad, et al.. (2009). The Effects of Low-Level Laser Therapy on Bone in Diabetic and Nondiabetic Rats. Photomedicine and Laser Surgery. 27(5). 703–708. 33 indexed citations
13.
Bayat, Mohammad, et al.. (2009). Effects of 780-nm Low-Level Laser Therapy with a Pulsed Gallium Aluminum Arsenide Laser on the Healing of a Surgically Induced Open Skin Wound of Rat. Photomedicine and Laser Surgery. 28(4). 465–470. 33 indexed citations
14.
Bayat, Mohammad, et al.. (2009). Evaluation of Low-Level Laser Therapy with a He–Ne Laser on the Healing of an Osteochondral Defect Using a Biomechanical Test. Photomedicine and Laser Surgery. 28(3). 423–428. 13 indexed citations
15.
Bayat, Mohammad, et al.. (2009). Low-Level Laser Therapy Using 80-Hz Pulsed Infrared Diode Laser Accelerates Third-Degree Burn Healing in Rat. Photomedicine and Laser Surgery. 27(6). 959–964. 27 indexed citations
16.
Bayat, Mohammad, et al.. (2009). Effect of Low-Level Infrared Laser Therapy on Large Surgical Osteochondral Defect in Rabbit: A Histological Study. Photomedicine and Laser Surgery. 27(1). 25–30. 14 indexed citations
17.
Bayat, Mohammad, et al.. (2008). Effect of Low-Level Laser Therapy on Mast Cells in Second-Degree Burns in Rats. Photomedicine and Laser Surgery. 26(1). 1–5. 56 indexed citations
18.
Bayat, Mohammad, et al.. (2007). Effect of Low-Level Laser Therapy on Skin Fibroblasts of Streptozotocin-Diabetic Rats. Photomedicine and Laser Surgery. 25(6). 519–525. 27 indexed citations
19.
Bayat, Mohammad, et al.. (2007). Effect of Low-Level Laser Therapy on Healing of Medial Collateral Ligament Injuries in Rats: An Ultrastructural Study. Photomedicine and Laser Surgery. 25(3). 191–196. 6 indexed citations
20.
Bayat, Mohammad, et al.. (2005). Low-Level Laser Therapy Improves Early Healing of Medial Collateral Ligament Injuries in Rats. Photomedicine and Laser Surgery. 23(6). 556–560. 13 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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