V. Seenu

813 total citations
25 papers, 589 citations indexed

About

V. Seenu is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, V. Seenu has authored 25 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in V. Seenu's work include MRI in cancer diagnosis (3 papers), Advanced MRI Techniques and Applications (3 papers) and Breast Cancer Treatment Studies (3 papers). V. Seenu is often cited by papers focused on MRI in cancer diagnosis (3 papers), Advanced MRI Techniques and Applications (3 papers) and Breast Cancer Treatment Studies (3 papers). V. Seenu collaborates with scholars based in India and United Kingdom. V. Seenu's co-authors include N. R. Jagannathan, Sada Nand Dwivedi, Anurag Srivastava, Goura Kishor Rath, P. K. Julka, Mayank Kumar, Arun Goel, Uma Sharma, Sanjay Tiwari and G. K. Rath and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Cancer and British journal of surgery.

In The Last Decade

V. Seenu

23 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Seenu India 13 330 146 80 76 76 25 589
Anthony Horsman United Kingdom 13 525 1.6× 53 0.4× 91 1.1× 79 1.0× 98 1.3× 16 829
Vincenzo Livio Malavasi Italy 20 155 0.5× 80 0.5× 96 1.2× 58 0.8× 44 0.6× 50 1.2k
L Hands United Kingdom 9 118 0.4× 208 1.4× 116 1.4× 59 0.8× 25 0.3× 11 467
Ali Pirasteh United States 14 215 0.7× 126 0.9× 140 1.8× 74 1.0× 24 0.3× 45 668
Mengsu Zeng China 10 228 0.7× 117 0.8× 102 1.3× 19 0.3× 38 0.5× 21 509
Chengcheng Ji China 16 85 0.3× 58 0.4× 75 0.9× 238 3.1× 29 0.4× 48 726
Marie‐Luise Kromrey Germany 16 282 0.9× 285 2.0× 123 1.5× 54 0.7× 17 0.2× 54 957
Maleah Grover‐McKay United States 17 706 2.1× 269 1.8× 151 1.9× 176 2.3× 26 0.3× 39 1.4k
Lauren A. Baldassarre United States 16 323 1.0× 96 0.7× 64 0.8× 60 0.8× 20 0.3× 57 686
João V. Vítola United States 16 614 1.9× 134 0.9× 130 1.6× 64 0.8× 63 0.8× 50 963

Countries citing papers authored by V. Seenu

Since Specialization
Citations

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

Fields of papers citing papers by V. Seenu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Seenu

This figure shows the co-authorship network connecting the top 25 collaborators of V. Seenu. A scholar is included among the top collaborators of V. Seenu 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 V. Seenu. V. Seenu 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.
Rangarajan, Krithika, Amit Gupta, Smriti Hari, et al.. (2024). Simulation training in mammography with AI-generated images: a multireader study. European Radiology. 35(2). 562–571. 4 indexed citations
2.
3.
Kazi, Mufaddal, et al.. (2020). An audit of over 1000 breast cancer patients from a tertiary care center of Northern India. Breast Disease. 39(2). 91–99. 10 indexed citations
4.
Goyal, Ankur, Atin Kumar, Raju Sharma, et al.. (2020). Evaluation of the Graft Kidney in the Early Postoperative Period. Journal of Ultrasound in Medicine. 40(9). 1771–1783. 14 indexed citations
5.
6.
Hari, Smriti, Rishma Vidyasagar, Ekta Dhamija, et al.. (2018). Breast mass characterization using shear wave elastography and ultrasound. Diagnostic and Interventional Imaging. 99(11). 699–707. 22 indexed citations
7.
Srivastava, Anurag, Kamal Kataria, V. Seenu, et al.. (2018). Measurement of Depth of Premammary Fascia and Breast Parenchyma by Sonography and Histological Quantitation. Indian Journal of Surgery. 81(3). 265–270. 1 indexed citations
8.
Kandasamy, Devasenathipathy, Chandrasekhar Bal, Madhavi Tripathi, et al.. (2017). Comparison of 18F-Fluorocholine positron emission tomography/computed tomography and four-dimensional computed tomography in the preoperative localization of parathyroid adenomas-initial results. Indian Journal of Endocrinology and Metabolism. 21(3). 399–399. 26 indexed citations
9.
Sharma, Jai Bhagwan, Alka Kriplani, Monica Gupta, & V. Seenu. (2017). Successful maternal and perinatal outcomes in a term pregnancy with giant abdominopelvic leiomyomatosis. BMJ Case Reports. 2017. bcr–2017.
10.
Abraham, Ransi Ann, Vinay K. Bahl, Rajinder Parshad, et al.. (2013). Content of Trans Fatty Acids in Human Cheek Epithelium: Comparison with Serum and Adipose Tissue. BioMed Research International. 2013. 1–7. 7 indexed citations
11.
Yadav, Rajni, et al.. (2012). Leiomyosarcoma of inferior vena cava: A case series of four cases. Indian Journal of Pathology and Microbiology. 55(1). 83–83. 10 indexed citations
12.
Ballehaninna, Umashankar K., Sunil Chumber, Anita Dhar, et al.. (2010). Detection and Prevention of Post-Operative Deep Vein Thrombosis [DVT] Using Nadroparin Among Patients Undergoing Major Abdominal Operations in India; a Randomised Controlled Trial. Indian Journal of Surgery. 72(4). 312–317. 7 indexed citations
13.
Yadav, Rajiv, et al.. (2008). A prospective analysis of testicular androgenic function in recipients of a renal allograft. International Urology and Nephrology. 40(2). 397–403. 13 indexed citations
14.
Sinha, Anindita, Ravi Sharma, Harsh Kandpal, V. Seenu, & Mehar Chand Sharma. (2008). Imaging appearance of parasitic infestations of the breast: a report of two cases and review of the literature. Acta Radiologica. 49(5). 506–509. 5 indexed citations
15.
Kumar, Mahesh, et al.. (2006). Monitoring the therapeutic response of locally advanced breast cancer patients: Sequential in vivo proton MR spectroscopy study. Journal of Magnetic Resonance Imaging. 24(2). 325–332. 62 indexed citations
16.
Sharma, Uma, et al.. (2004). Biochemical characterization of metastatic lymph nodes of breast cancer patients by in vitro 1H magnetic resonance spectroscopy: a pilot study. Magnetic Resonance Imaging. 22(5). 697–706. 42 indexed citations
17.
Jagannathan, N. R., Mayank Kumar, V. Seenu, et al.. (2001). Evaluation of total choline from in-vivo volume localized proton MR spectroscopy and its response to neoadjuvant chemotherapy in locally advanced breast cancer. British Journal of Cancer. 84(8). 1016–1022. 225 indexed citations
18.
Seenu, V. & Arun Goel. (1997). Early oral feeding after elective colorectal surgery: is it safe.. PubMed. 16(4). 72–3. 19 indexed citations
19.
Goel, Arun, V. Seenu, L Meleagros, & P B Boulos. (1995). Influence of temporary faecal diversion on long-term survival after curative surgery for colorectal cancer. British journal of surgery. 82(9). 1286–1287. 13 indexed citations
20.
Seenu, V., et al.. (1994). Primary pelvic hydatid cyst presenting with obstructive uropathy and renal failure. Postgraduate Medical Journal. 70(830). 930–932. 37 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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