Richa Vaish

1.8k total citations · 1 hit paper
46 papers, 1.1k citations indexed

About

Richa Vaish is a scholar working on Surgery, Otorhinolaryngology and Oncology. According to data from OpenAlex, Richa Vaish has authored 46 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 20 papers in Otorhinolaryngology and 14 papers in Oncology. Recurrent topics in Richa Vaish's work include Head and Neck Cancer Studies (20 papers), Thyroid Cancer Diagnosis and Treatment (11 papers) and Cancer Diagnosis and Treatment (10 papers). Richa Vaish is often cited by papers focused on Head and Neck Cancer Studies (20 papers), Thyroid Cancer Diagnosis and Treatment (11 papers) and Cancer Diagnosis and Treatment (10 papers). Richa Vaish collaborates with scholars based in India, United Kingdom and United States. Richa Vaish's co-authors include Anil D’Cruz, Anuja Deshmukh, Devendra Chaukar, Prathamesh Pai, Supreeta Arya, Sudhir Nair, Pankaj Chaturvedi, Gouri Pantvaidya, Deepa Nair and Sarbani Ghosh Laskar and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Richa Vaish

41 papers receiving 1.1k citations

Hit Papers

Elective versus Therapeutic Neck Dissection in Node-Negat... 2015 2026 2018 2022 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richa Vaish India 10 754 573 500 170 114 46 1.1k
Mitali Dandekar India 5 707 0.9× 490 0.9× 451 0.9× 131 0.8× 64 0.6× 20 907
Anuja Deshmukh India 15 1000 1.3× 783 1.4× 567 1.1× 199 1.2× 93 0.8× 48 1.3k
Louis Portugal United States 19 903 1.2× 731 1.3× 473 0.9× 402 2.4× 57 0.5× 43 1.3k
Harri Keski–Säntti Finland 15 621 0.8× 539 0.9× 535 1.1× 171 1.0× 51 0.4× 32 1.1k
Taimur Shoaib United Kingdom 20 1.1k 1.4× 1.0k 1.8× 1.1k 2.1× 99 0.6× 48 0.4× 37 1.6k
Douglas K. Frank United States 13 269 0.4× 409 0.7× 320 0.6× 110 0.6× 51 0.4× 57 838
Kie-Kian Ang United States 5 1.2k 1.6× 833 1.5× 541 1.1× 536 3.2× 112 1.0× 5 1.5k
Orit Gutfeld Israel 12 244 0.3× 288 0.5× 266 0.5× 110 0.6× 73 0.6× 24 630
Hélène Audry France 6 1.2k 1.5× 764 1.3× 479 1.0× 599 3.5× 149 1.3× 8 1.4k
Esat Mahmut Özşahin Switzerland 10 1.1k 1.5× 812 1.4× 456 0.9× 496 2.9× 195 1.7× 17 1.5k

Countries citing papers authored by Richa Vaish

Since Specialization
Citations

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

Fields of papers citing papers by Richa Vaish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richa Vaish

This figure shows the co-authorship network connecting the top 25 collaborators of Richa Vaish. A scholar is included among the top collaborators of Richa Vaish 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 Richa Vaish. Richa Vaish 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.
Mahajan, Abhishek, Rajat Agarwal, Richa Vaish, et al.. (2025). A Novel Deep Learning-Based (3D U-Net Model) Automated Pulmonary Nodule Detection Tool for CT Imaging. Current Oncology. 32(2). 95–95.
2.
3.
Vaish, Richa, Rohini Hawaldar, Sudeep Gupta, et al.. (2024). N0 neck trial: Does intensification of follow-up (Ultrasound + Physical Examination) influence outcomes in early-stage oral cancer?. European Journal of Cancer. 204. 114064–114064. 2 indexed citations
4.
Mahajan, Abhishek, Richa Vaish, Sarbani Ghosh Laskar, et al.. (2023). Imaging Recommendations for Diagnosis, Staging and Management of Larynx and Hypopharynx Cancer. Indian Journal of Medical and Paediatric Oncology. 44(1). 54–65. 6 indexed citations
5.
Mahajan, Abhishek, Richa Vaish, Ashu Seith Bhalla, et al.. (2023). Imaging Recommendations for Diagnosis, Staging, and Management of Oral Cancer. Indian Journal of Medical and Paediatric Oncology. 44(2). 150–158. 5 indexed citations
6.
Mahajan, Abhishek, et al.. (2023). Imaging of Neck Nodes in Head and Neck Cancers – a Comprehensive Update. Clinical Oncology. 35(7). 429–445. 5 indexed citations
7.
Vaish, Richa, Abhishek Mahajan, Nilesh Sable, et al.. (2023). Role of computed tomography in the evaluation of regional metastasis in well-differentiated thyroid cancer. SHILAP Revista de lepidopterología. 3. 1243000–1243000. 2 indexed citations
8.
Mahajan, Abhishek, et al.. (2022). Active Surveillance of Low-Risk Papillary Microcarcinoma of the Thyroid in Indian Scenario. Indian Journal of Endocrinology and Metabolism. 26(2). 119–126. 2 indexed citations
9.
Vaish, Richa, Neha Mittal, Abhishek Mahajan, et al.. (2022). Sentinel node biopsy in node negative early oral cancers: Solution to the conundrum!. Oral Oncology. 134. 106070–106070. 8 indexed citations
10.
Chaukar, Devendra, Vijay Patil, Shivakumar Thiagarajan, et al.. (2021). Prospective Phase II Open-Label Randomized Controlled Trial to Compare Mandibular Preservation in Upfront Surgery With Neoadjuvant Chemotherapy Followed by Surgery in Operable Oral Cavity Cancer. Journal of Clinical Oncology. 40(3). 272–281. 37 indexed citations
11.
Pantvaidya, Gouri, Shalaka Joshi, Prakash Nayak, et al.. (2021). Surgical Site Infections in patients undergoing major oncological surgery during the COVID‐19 paNdemic (SCION): A propensity‐matched analysis. Journal of Surgical Oncology. 125(3). 327–335. 14 indexed citations
12.
D’Cruz, Anil & Richa Vaish. (2021). Risk-based oral cancer screening — lessons to be learnt. Nature Reviews Clinical Oncology. 18(8). 471–472. 13 indexed citations
13.
Vaish, Richa, et al.. (2021). Parathyroid Carcinoma: a Review. Indian Journal of Surgical Oncology. 13(1). 133–142. 9 indexed citations
14.
D′Cruz, Anil, Harsh Dhar, Richa Vaish, et al.. (2021). Depth of invasion in early oral cancers- is it an independent prognostic factor?. European Journal of Surgical Oncology. 47(8). 1940–1946. 15 indexed citations
15.
D’Cruz, Anil, Richa Vaish, Iain J. Nixon, et al.. (2018). Molecular markers in well-differentiated thyroid cancer. European Archives of Oto-Rhino-Laryngology. 275(6). 1375–1384. 29 indexed citations
16.
Kumar, Rajeev, et al.. (2018). Long Term Oncological Results of Transoral Laser Microsurgery for Early and Moderately Advanced Glottic Carcinoma in Primary and Salvage Settings. Indian Journal of Otolaryngology and Head & Neck Surgery. 70(4). 463–470. 1 indexed citations
17.
Vaish, Richa, et al.. (2016). Surgical anatomy of the pyramidal lobe in cancer patients: A Prospective Cohort in a Tertiary Centre. International Journal of Surgery. 30. 166–168. 5 indexed citations
18.
Vaish, Richa, et al.. (2016). Positron emission tomography thyroid incidentaloma: Is it different in Indian subcontinent?. Indian Journal of Cancer. 53(1). 186–186. 6 indexed citations
19.
Mahajan, Abhishek, Richa Vaish, Nilesh Sable, et al.. (2016). 391P Incremental value of preoperative CT in the surgical management of papillary thyroid cancer. Annals of Oncology. 27. ix121–ix121. 2 indexed citations
20.
Vaish, Richa, et al.. (2015). The Tubercle of Zuckerkandl : An Important Landmark Revisited. Indian Journal of Surgical Oncology. 7(3). 312–315. 8 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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