Nootan Kumar Shukla

3.9k total citations
107 papers, 3.1k citations indexed

About

Nootan Kumar Shukla is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Nootan Kumar Shukla has authored 107 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Oncology, 39 papers in Surgery and 29 papers in Molecular Biology. Recurrent topics in Nootan Kumar Shukla's work include Breast Cancer Treatment Studies (12 papers), Head and Neck Cancer Studies (10 papers) and Cancer-related Molecular Pathways (9 papers). Nootan Kumar Shukla is often cited by papers focused on Breast Cancer Treatment Studies (12 papers), Head and Neck Cancer Studies (10 papers) and Cancer-related Molecular Pathways (9 papers). Nootan Kumar Shukla collaborates with scholars based in India, Canada and United States. Nootan Kumar Shukla's co-authors include Ranju Ralhan, Meera Mathur, Jasbir Kaur, S. V. S. Deo, Ajay Matta, Vinod Raina, Sanjay Thulkar, Suryanaryana V.S. Deo, Syed Akhtar Husain and Gibanananda Ray and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer.

In The Last Decade

Nootan Kumar Shukla

106 papers receiving 3.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nootan Kumar Shukla 1.2k 1.2k 779 628 560 107 3.1k
Andreas Karameris 868 0.7× 738 0.6× 630 0.8× 474 0.8× 711 1.3× 119 2.5k
Jin S. Lee 1.3k 1.1× 1.2k 1.0× 472 0.6× 466 0.7× 960 1.7× 60 3.4k
Wei‐Hua Jia 1.4k 1.2× 979 0.8× 352 0.5× 1.1k 1.7× 339 0.6× 104 2.8k
W. K. Hong 1.1k 0.9× 1.1k 0.9× 410 0.5× 400 0.6× 1.4k 2.5× 42 3.1k
S. M. Lippman 1.8k 1.5× 892 0.8× 403 0.5× 487 0.8× 511 0.9× 48 3.2k
Seema Sethi 1.9k 1.6× 957 0.8× 271 0.3× 1.2k 2.0× 614 1.1× 90 3.1k
Virote Sriuranpong 995 0.8× 1.1k 0.9× 205 0.3× 477 0.8× 381 0.7× 77 2.2k
Chia-Jui Yen 1.1k 0.9× 955 0.8× 272 0.3× 613 1.0× 530 0.9× 63 2.7k
Steven E. Benner 1.1k 0.9× 1.3k 1.1× 378 0.5× 423 0.7× 804 1.4× 56 2.9k
Fritz Wrba 1.2k 1.0× 1.6k 1.3× 1.3k 1.7× 545 0.9× 985 1.8× 167 4.7k

Countries citing papers authored by Nootan Kumar Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Nootan Kumar Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nootan Kumar Shukla. 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 Nootan Kumar Shukla. The network helps show where Nootan Kumar Shukla may publish in the future.

Co-authorship network of co-authors of Nootan Kumar Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Nootan Kumar Shukla. A scholar is included among the top collaborators of Nootan Kumar Shukla 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 Nootan Kumar Shukla. Nootan Kumar Shukla 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.
Deo, Suryanarayana, Vishwajeet Singh, Nootan Kumar Shukla, et al.. (2019). Clinical Spectrum, Pattern, and Level-Wise Nodal Involvement Among Oral Squamous Cell Carcinoma Patients – Audit of 945 Oral Cancer Patient Data. Indian Journal of Surgical Oncology. 11(1). 86–91. 6 indexed citations
2.
3.
Gogia, Ajay, Vinod Raina, Nootan Kumar Shukla, et al.. (2018). Clinico-pathological characteristics and treatment outcome in invasive lobular carcinoma of the breast: An Indian experience. Indian Journal of Cancer. 55(4). 344–344. 2 indexed citations
4.
5.
Pathy, Sushmita, Supriya Mallick, Atul Sharma, et al.. (2017). Compliance and outcomes of concurrent Chemo-radiation in patients with peri-ampullary cancer undergoing curative resections. Indian Journal of Cancer. 54(3). 519–519.
6.
Shukla, Nootan Kumar, S. V. S. Deo, N. M. L. Manjunath, et al.. (2016). Clinical Spectrum, Treatment and Relapse Patterns in 353 Patients with Squamous Cell Carcinoma of the Alveobuccal Complex Treated with a Curative Intent: A Retrospective Study. Journal of Maxillofacial and Oral Surgery. 17(1). 24–31. 4 indexed citations
7.
Gogia, Ajay, et al.. (2014). Inflammatory Breast Cancer: a Single Centre Analysis. Asian Pacific Journal of Cancer Prevention. 15(7). 3207–3210. 7 indexed citations
8.
Kaur, Jasbir, S Dattagupta, Nootan Kumar Shukla, et al.. (2013). Clinical Significance of Altered Expression of β-Catenin and E-Cadherin in Oral Dysplasia and Cancer: Potential Link with ALCAM Expression. PLoS ONE. 8(6). e67361–e67361. 62 indexed citations
9.
Shukla, Nootan Kumar, et al.. (2011). A rare case of giant leiomyosarcoma in a filarial scrotum: a case report. World Journal of Surgical Oncology. 9(1). 20–20. 18 indexed citations
10.
Tripathi, S. C., Ajay Matta, Jasbir Kaur, et al.. (2010). Nuclear S100A7 Is Associated with Poor Prognosis in Head and Neck Cancer. PLoS ONE. 5(8). e11939–e11939. 56 indexed citations
11.
Matta, Ajay, S. C. Tripathi, Leroi V. DeSouza, et al.. (2009). Heterogeneous ribonucleoprotein K is a marker of oral leukoplakia and correlates with poor prognosis of squamous cell carcinoma. International Journal of Cancer. 125(6). 1398–1406. 60 indexed citations
12.
Naqvi, Raza Ali, Arif Hussain, Mohammad Raish, et al.. (2008). Specific 5′CpG Island Methylation Signatures of FHIT and p16 Genes and Their Potential Diagnostic Relevance in Indian Breast Cancer Patients. DNA and Cell Biology. 27(9). 517–525. 9 indexed citations
13.
Naqvi, Raza Ali, Arif Hussain, Himani Kukreti, et al.. (2008). Hypermethylation analysis of mismatch repair genes (hmlh1 and hmsh2) in locally advanced breast cancers in Indian women. Human Pathology. 39(5). 672–680. 16 indexed citations
14.
Rohatgi, Nidhi, Jasbir Kaur, Shishir Shishodia, et al.. (2007). Expression of NF‐κB parallels COX‐2 expression in oral precancer and cancer: Association with smokeless tobacco. International Journal of Cancer. 120(12). 2545–2556. 109 indexed citations
15.
Deo, Suryanarayana, Atul Samaiya, Sonal Asthana, et al.. (2004). Sentinel Lymph Node Biopsy Assessment Using Intraoperative Imprint Cytology in Breast Cancer Patients: Results of a Validation Study. Asian Journal of Surgery. 27(4). 294–298. 18 indexed citations
16.
Mathur, Meera, et al.. (2003). Stromelysin‐3 expression is an early event in human oral tumorigenesis. International Journal of Cancer. 107(2). 309–316. 52 indexed citations
17.
Deo, S. V. S., et al.. (2003). Management of Inflammatory Tracheoesophageal Adhesions During Transhiatal Esophagectomy. Surgery Today. 33(5). 332–335. 3 indexed citations
18.
Valarmathi, Mani T., Ashish Agarwal, Suryanarayana Deo, Nootan Kumar Shukla, & Satya N. Das. (2002). BRCA1 germline mutations in Indian familial breast cancer. Human Mutation. 21(1). 98–99. 20 indexed citations
19.
Chakravarti, Nitin, Meera Mathur, Sudhir Bahadur, et al.. (2000). Expression of RAR? and RAR? in human oral potentially malignant and neoplastic lesions. International Journal of Cancer. 91(1). 27–31. 16 indexed citations
20.
Kumar, Lalit, et al.. (1994). Breast Metastasis from Primary Cervical Cancer. Asia-Oceania Journal of Obstetrics and Gynaecology. 20(4). 345–348. 3 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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