Sundar Ramalingam

1.6k total citations
88 papers, 1.1k citations indexed

About

Sundar Ramalingam is a scholar working on Oral Surgery, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sundar Ramalingam has authored 88 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oral Surgery, 24 papers in Biomedical Engineering and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Sundar Ramalingam's work include Dental Implant Techniques and Outcomes (26 papers), Lung Cancer Treatments and Mutations (20 papers) and Bone Tissue Engineering Materials (20 papers). Sundar Ramalingam is often cited by papers focused on Dental Implant Techniques and Outcomes (26 papers), Lung Cancer Treatments and Mutations (20 papers) and Bone Tissue Engineering Materials (20 papers). Sundar Ramalingam collaborates with scholars based in Saudi Arabia, United States and India. Sundar Ramalingam's co-authors include Nasser Nooh, Khalid Al‐Hezaimi, James Chih‐Hsin Yang, Andrew Walding, Lulu Yang, Kōichi Goto, Hideo Saka, Myung‐Ju Ahn, Seung‐Whan Kim and Helena A. Yu and has published in prestigious journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Annals of Oncology.

In The Last Decade

Sundar Ramalingam

84 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sundar Ramalingam Saudi Arabia 18 469 463 178 173 163 88 1.1k
Anurag Gupta India 17 155 0.3× 189 0.4× 100 0.6× 98 0.6× 195 1.2× 49 847
Henning Hanken Germany 22 171 0.4× 227 0.5× 402 2.3× 436 2.5× 151 0.9× 86 1.7k
Eric Sung United States 22 607 1.3× 771 1.7× 70 0.4× 269 1.6× 371 2.3× 51 2.2k
Toshinori Iwai Japan 19 235 0.5× 243 0.5× 294 1.7× 454 2.6× 107 0.7× 205 1.3k
Rui Fernandes United States 21 258 0.6× 181 0.4× 45 0.3× 471 2.7× 151 0.9× 99 1.4k
W. Millesi Austria 27 255 0.5× 308 0.7× 273 1.5× 500 2.9× 98 0.6× 87 2.0k
Paolo Vescovi Italy 25 299 0.6× 1.5k 3.1× 42 0.2× 599 3.5× 131 0.8× 77 2.3k
Takumi Hasegawa Japan 27 545 1.2× 808 1.7× 198 1.1× 435 2.5× 198 1.2× 193 2.4k
Kilian Kreutzer Germany 20 137 0.3× 356 0.8× 117 0.7× 108 0.6× 75 0.5× 73 1.1k
Rajeev Sen India 19 245 0.5× 200 0.4× 45 0.3× 102 0.6× 98 0.6× 191 1.4k

Countries citing papers authored by Sundar Ramalingam

Since Specialization
Citations

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

Fields of papers citing papers by Sundar Ramalingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sundar Ramalingam

This figure shows the co-authorship network connecting the top 25 collaborators of Sundar Ramalingam. A scholar is included among the top collaborators of Sundar Ramalingam 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 Sundar Ramalingam. Sundar Ramalingam 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.
Alqutaibi, Ahmed Yaseen, et al.. (2025). Regenerative approaches in alveolar bone augmentation for dental implant placement: Techniques, biomaterials, and clinical decision-making: A comprehensive review. Journal of Dentistry. 154. 105612–105612. 11 indexed citations
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Ramalingam, Sundar, et al.. (2022). Effectiveness of Phone Call Follow-Ups in Improving Patient Compliance to Post-extraction Instructions: A Cross-Sectional Study. Cureus. 14(11). e31499–e31499. 1 indexed citations
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Muthuramalingam, T., et al.. (2020). Enhancing the Surface Quality of Micro Titanium Alloy Specimen in WEDM Process by Adopting TGRA-Based Optimization. Materials. 13(6). 1440–1440. 56 indexed citations
8.
Ramalingam, Sundar, Juanita Lopez, Morten Mau‐Sørensen, et al.. (2019). OA02.05 First-In-Human Phase 1/2 Trial of Anti-AXL Antibody–Drug Conjugate (ADC) Enapotamab Vedotin (EnaV) in Advanced NSCLC. Journal of Thoracic Oncology. 14(10). S209–S209. 12 indexed citations
9.
Ramalingam, Sundar, et al.. (2018). Dental Interns’ Awareness Regarding Implant Placement in Medically Compromised Patients. 17(2). 63–66. 1 indexed citations
10.
Ramalingam, Sundar, et al.. (2018). Undergraduate Implant Dentistry Training In Saudi Dental Schools.. PubMed. 30(2). 217–222. 6 indexed citations
11.
Ramalingam, Sundar, et al.. (2018). Detection of visually imperceptible blood contamination in the oral surgical clinic using forensic luminol blood detection agent. Journal of International Society of Preventive and Community Dentistry. 8(4). 327–327. 16 indexed citations
12.
Ramalingam, Sundar, et al.. (2018). Periodontal therapy as an adjunctive modality for HbA1c reduction in type-2 diabetic patients. Journal of Education and Health Promotion. 7(1). 152–152. 20 indexed citations
13.
Kindi, Mohammed Al, et al.. (2017). Functional and aesthetic outcomes of electron beam-melted titanium reconstruction plates: an in vivo goat study. Biomedical Research-tokyo. 28(5). 2073–2080. 2 indexed citations
14.
Gray, Jhanelle E., Isamu Okamoto, Virote Sriuranpong, et al.. (2017). OA 05.02 Osimertinib vs SoC EGFR-TKI as First-Line Treatment in Patients with EGFRm Advanced NSCLC (FLAURA): Plasma ctDNA Analysis. Journal of Thoracic Oncology. 12(11). S1754–S1755. 7 indexed citations
15.
Ramalingam, Sundar, et al.. (2017). Perceptions of dental interns in Saudi Arabia toward implant placement in medically compromised patients. Journal of Education and Health Promotion. 6(1). 104–104. 8 indexed citations
16.
Babay, Nadir, et al.. (2016). Efficacy of Mucograft vs Conventional Resorbable Collagen Membranes in Guided Bone Regeneration Around Standardized Calvarial Defects in Rats: An In Vivo Microcomputed Tomographic Analysis. The International Journal of Periodontics & Restorative Dentistry. 36. s109–s121. 4 indexed citations
17.
Jenkins, Suzanne, James Chih‐Hsin Yang, Sundar Ramalingam, et al.. (2016). 134O_PR: Plasma ctDNA analysis for detection of EGFR T790M mutation in patients (pts) with EGFR mutation-positive advanced non-small cell lung cancer (aNSCLC). Journal of Thoracic Oncology. 11(4). S153–S154. 16 indexed citations
18.
Ahn, Myung‐Ju, James Chih‐Hsin Yang, Helena A. Yu, et al.. (2016). 136O: Osimertinib combined with durvalumab in EGFR-mutant non-small cell lung cancer: Results from the TATTON phase Ib trial. Journal of Thoracic Oncology. 11(4). S115–S115. 194 indexed citations
19.
Ramalingam, Sundar, et al.. (2013). The impact of maxillofacial trauma scoring systems in predicting maxillofacial injury severity in developing countries. International Journal of Oral and Maxillofacial Surgery. 42(10). 1232–1233. 2 indexed citations
20.
O’Bryant, Cindy L., S. Hariharan, Siew Hong Leong, et al.. (2006). 412 POSTER An open-label study to characterize the pharmacokinetic (pk) parameters of erlotinib in patients with advanced solid tumors with adequate or moderately imparied hepatic function. European Journal of Cancer Supplements. 4(12). 126–127. 1 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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