Veena Singh

2.6k total citations
65 papers, 1.9k citations indexed

About

Veena Singh is a scholar working on Epidemiology, Oncology and Cancer Research. According to data from OpenAlex, Veena Singh has authored 65 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Epidemiology, 23 papers in Oncology and 18 papers in Cancer Research. Recurrent topics in Veena Singh's work include Cervical Cancer and HPV Research (30 papers), Cancer Genomics and Diagnostics (14 papers) and Lung Cancer Treatments and Mutations (7 papers). Veena Singh is often cited by papers focused on Cervical Cancer and HPV Research (30 papers), Cancer Genomics and Diagnostics (14 papers) and Lung Cancer Treatments and Mutations (7 papers). Veena Singh collaborates with scholars based in India, United States and United Kingdom. Veena Singh's co-authors include Ye Zheng, F Ouaaz, Amer A. Beg, Ruslan Medzhitov, Ming O. Li, David F. Carpio, Pushpa Sodhani, Ashok Sehgal, Bhudev C. Das and Mark G. Erlander and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Veena Singh

63 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Veena Singh India 20 694 565 449 397 376 65 1.9k
Sophie Prévôt France 26 457 0.7× 852 1.5× 294 0.7× 341 0.9× 446 1.2× 66 3.1k
María Galindo-Izquierdo Spain 30 478 0.7× 316 0.6× 175 0.4× 302 0.8× 853 2.3× 114 2.6k
Vera Loizzi Italy 27 616 0.9× 497 0.9× 257 0.6× 91 0.2× 326 0.9× 161 2.5k
Sook Hee Hong South Korea 25 1.0k 1.5× 342 0.6× 196 0.4× 153 0.4× 232 0.6× 113 2.2k
C. H. Buckley United Kingdom 34 541 0.8× 811 1.4× 165 0.4× 192 0.5× 588 1.6× 106 3.1k
Juan Carlos García‐Ruiz Spain 27 347 0.5× 447 0.8× 210 0.5× 274 0.7× 319 0.8× 105 1.8k
Randi E. Gislefoss Norway 26 338 0.5× 389 0.7× 293 0.7× 121 0.3× 137 0.4× 46 1.6k
Jae Wook Kim South Korea 31 446 0.6× 442 0.8× 719 1.6× 167 0.4× 137 0.4× 129 2.9k
Mikihiro Fujiya Japan 23 571 0.8× 381 0.7× 248 0.6× 167 0.4× 125 0.3× 136 2.0k
Yasuo Hirai Japan 27 292 0.4× 798 1.4× 192 0.4× 174 0.4× 98 0.3× 120 2.2k

Countries citing papers authored by Veena Singh

Since Specialization
Citations

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

Fields of papers citing papers by Veena Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veena Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Veena Singh. A scholar is included among the top collaborators of Veena Singh 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 Veena Singh. Veena Singh 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.
Chaudhry, Dhruva, Shweta Khandelwal, Chandrika Bahadur, et al.. (2024). Prevalence of long COVID symptoms in Haryana, India: a cross-sectional follow-up study. SHILAP Revista de lepidopterología. 25. 100395–100395. 2 indexed citations
2.
Sinha, Chandni, et al.. (2021). Does radial or median nerve blocks affect the area and blood flow of radial artery?. Anaesthesia Critical Care & Pain Medicine. 40(2). 100831–100831. 6 indexed citations
3.
Singh, Veena, Amarjeet Kumar, Ajeet Kumar, et al.. (2021). The COSEVAST Study Outcome: Evidence of COVID-19 Severity Proportionate to Surge in Arterial Stiffness. Indian Journal of Critical Care Medicine. 25(10). 1113–1119. 14 indexed citations
4.
Arnold, Lyle J., et al.. (2020). Clinical validation of qPCR Target Selector™ assays using highly specific switch-blockers for rare mutation detection. Journal of Clinical Pathology. 73(10). 648–655. 5 indexed citations
5.
6.
Montes-Servín, Edgar, Lyle J. Arnold, Jason C. Poole, et al.. (2016). Clinical evaluation of the utility of a liquid biopsy (circulating tumoral cells and ctDNA) to determine the mutational profile (EGFR, KRAS, ALK, ROS1 and BRAF) in advanced NSCLC patients. Annals of Oncology. 27. vi526–vi526. 1 indexed citations
7.
Sharma, Upma, Showket Hussain, Veena Singh, et al.. (2016). Impacts of TNF-LTA SNPs/Haplotypes and Lifestyle Factors on Oral Carcinoma in an Indian Population. Molecular Diagnosis & Therapy. 20(5). 469–480. 11 indexed citations
8.
Sharma, Anita, Sanjay Gupta, Pushpa Sodhani, et al.. (2015). Glutathione S-transferase M1 and T1 Polymorphisms, Cigarette Smoking and HPV Infection in Precancerous and Cancerous Lesions of the Uterine Cervix. Asian Pacific Journal of Cancer Prevention. 16(15). 6429–6438. 13 indexed citations
9.
Singh, Veena, et al.. (2013). Analysis of the effect of various decalcification agents on the quantity and quality of nucleic acid (DNA and RNA) recovered from bone biopsies. Annals of Diagnostic Pathology. 17(4). 322–326. 85 indexed citations
10.
Singh, Veena, et al.. (2013). Reasons for Variation in Sensitivity and Specificity of Visual Inspection with Acetic Acid (VIA) for the Detection of Pre-Cancer and Cancer Lesions of Uterine Cervix. Asian Pacific Journal of Cancer Prevention. 14(12). 7761–7762. 16 indexed citations
11.
Gupta, Sanjay, Pushpa Sodhani, Sarita Sardana, Veena Singh, & Ashok Sehgal. (2013). Clinical determinants and smear characteristics of unsatisfactory conventional cervicovaginal smears. European Journal of Obstetrics & Gynecology and Reproductive Biology. 168(2). 214–217. 5 indexed citations
12.
Kerr, Sarah E., Catherine A. Schnabel, Peggy Sullivan, et al.. (2012). Multisite Validation Study to Determine Performance Characteristics of a 92-Gene Molecular Cancer Classifier. Clinical Cancer Research. 18(14). 3952–3960. 66 indexed citations
13.
Weiss, Lawrence M., Peiguo Chu, Brock E. Schroeder, et al.. (2012). Blinded Comparator Study of Immunohistochemical Analysis versus a 92-Gene Cancer Classifier in the Diagnosis of the Primary Site in Metastatic Tumors. Journal of Molecular Diagnostics. 15(2). 263–269. 54 indexed citations
14.
Kohaar, Indu, Showket Hussain, Nisha Thakur, et al.. (2009). Association between human leukocyte antigen class II alleles and human papillomavirus-mediated cervical cancer in Indian women. Human Immunology. 70(4). 222–229. 36 indexed citations
15.
Sodhani, Pushpa, et al.. (2006). Sensitivity of the Pap Test in Detecting High Grade Lesions. Acta Cytologica. 50(2). 181–184. 2 indexed citations
16.
17.
Sodhani, Pushpa, et al.. (2004). Eliminating the Diagnosis Atypical Squamous Cells of Undetermined Signi.cance. Acta Cytologica. 48(6). 783–787. 5 indexed citations
18.
Zheng, Ye, et al.. (2001). NF-κB RelA (p65) Is Essential for TNF-α-Induced Fas Expression but Dispensable for Both TCR-Induced Expression and Activation-Induced Cell Death. The Journal of Immunology. 166(8). 4949–4957. 102 indexed citations
19.
Singh, Veena, et al.. (1999). Biological behavior and etiology of inflammatory cervical smears. Diagnostic Cytopathology. 20(4). 199–202. 12 indexed citations
20.
Das, Bhudev C., Varanasi Gopalkrishna, D. K. Das, et al.. (1993). Human papillomavirus DNA sequences in adenocarcinoma of the uterine cervix in Indian women. Cancer. 72(1). 147–153. 34 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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