Saurav Panda
Impact in
- Urology top 0.5%
- Periodontal Regeneration and Treatments
- Oral Surgery top 1%
- Dental Implant Techniques and Outcomes
- Dental Radiography and Imaging
- Endodontics and Root Canal Treatments
Papers in
- Urology 32
- Periodontal Regeneration and Treatments 32
- Oral Surgery 26
- Dental Implant Techniques and Outcomes 14
- Dental Radiography and Imaging 9
- Endodontics and Root Canal Treatments 7
- Oral and Maxillofacial Pathology 5
- Co-authors
- Massimo Del Fabbro (26 shared papers)Sheeja Varghese (6 shared papers)Barbara Łapińska (13 shared papers)Jayakumar Nadathur Doraiswamy (3 shared papers)Héber Isac Arbildo-Vega (7 shared papers)Lora Mishra (11 shared papers)Silvio Taschieri (9 shared papers)Monika Łukomska−Szymańska (5 shared papers)
In The Last Decade
Saurav Panda
70 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Urology 409
- Oral Surgery 393
- Periodontics 246
- Orthodontics 155
- General Dentistry 39
Countries citing papers authored by Saurav Panda
This map shows the geographic impact of Saurav Panda'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 Saurav Panda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurav Panda more than expected).
Fields of papers citing papers by Saurav Panda
This network shows the impact of papers produced by Saurav Panda. 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 Saurav Panda. The network helps show where Saurav Panda may publish in the future.
Co-authors
The 25 scholars most cited alongside Saurav Panda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 110 | |
| 2 | 2014 | 101 | |
| 3 | 2014 | 91 | |
| 4 | 2021 | 64 | |
| 5 | 2018 | 57 | |
| 6 | 2020 | 54 | |
| 7 | 2021 | 44 | |
| 8 | 2019 | 40 | |
| 9 | 2016 | 38 | |
| 10 | 2020 | 34 | |
| 11 | 2022 | 33 | |
| 12 | 2015 | 30 | |
| 13 | 2020 | 27 | |
| 14 | 2022 | 25 | |
| 15 | 2022 | 24 | |
| 16 | 2014 | 21 | |
| 17 | 2022 | 20 | |
| 18 | 2020 | 18 | |
| 19 | 2018 | 18 | |
| 20 | 2015 | 16 |
About Saurav Panda
Saurav Panda is a scholar working on Urology, Oral Surgery, Periodontics, Pharmacy and Orthodontics, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Periodontal Regeneration and Treatments (32 papers), Oral microbiology and periodontitis research (15 papers), Dental Implant Techniques and Outcomes (14 papers), Oral and gingival health research (11 papers), Dental Radiography and Imaging (9 papers), Endodontics and Root Canal Treatments (7 papers), Oral and Maxillofacial Pathology (5 papers) and Dental Trauma and Treatments (4 papers). The work is most often cited by research in Urology (409 citations), Oral Surgery (393 citations), Periodontics (246 citations), Orthodontics (155 citations) and General Dentistry (39 citations). Saurav Panda has collaborated with scholars based in India, Italy and Poland. Frequent co-authors include Massimo Del Fabbro, Sheeja Varghese, Barbara Łapińska, Jayakumar Nadathur Doraiswamy, Héber Isac Arbildo-Vega, Lora Mishra, Silvio Taschieri, Monika Łukomska−Szymańska, Anurag Satpathy and N. Jayakumar. Their work appears in journals such as Materials, Applied Sciences, Journal of Clinical Medicine, Journal of Evidence Based Dental Practice and Cochrane Database of Systematic Reviews.
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.