Sukdev Nayak

623 total citations
13 papers, 255 citations indexed

About

Sukdev Nayak is a scholar working on Surgery, Oncology and Economics and Econometrics. According to data from OpenAlex, Sukdev Nayak has authored 13 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 5 papers in Oncology and 5 papers in Economics and Econometrics. Recurrent topics in Sukdev Nayak's work include Cardiac, Anesthesia and Surgical Outcomes (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Global Cancer Incidence and Screening (3 papers). Sukdev Nayak is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Global Cancer Incidence and Screening (3 papers). Sukdev Nayak collaborates with scholars based in India, United Kingdom and Australia. Sukdev Nayak's co-authors include Sanghamitra Pati, Swagata Tripathy, Mohammad Akhtar Hussain, Aparajita Panda, Rabi Narayan Sahu, Tushar Subhadarshan Mishra, Subhashisa Swain, Sonu Hangma Subba, Nilamadhab Kar and J. Lynn Palmer and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and BMC Neurology.

In The Last Decade

Sukdev Nayak

13 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sukdev Nayak India 8 81 70 52 44 44 13 255
Nikki Pease United Kingdom 10 95 1.2× 56 0.8× 27 0.5× 17 0.4× 71 1.6× 24 247
Myriam Soto‐Gordoa Spain 12 48 0.6× 90 1.3× 62 1.2× 31 0.7× 35 0.8× 25 292
Diane N. Haddad United States 10 31 0.4× 116 1.7× 52 1.0× 19 0.4× 26 0.6× 31 363
Arunangshu Ghoshal India 11 79 1.0× 142 2.0× 76 1.5× 22 0.5× 263 6.0× 75 481
G. Schiffhorst Germany 10 50 0.6× 25 0.4× 53 1.0× 21 0.5× 46 1.0× 30 289
Yu-Yu Tien Taiwan 6 48 0.6× 25 0.4× 47 0.9× 51 1.2× 120 2.7× 10 293
Michelle Witkop United States 19 111 1.4× 43 0.6× 24 0.5× 20 0.5× 32 0.7× 50 1.1k
Rayna K. Matsuno United States 7 49 0.6× 71 1.0× 33 0.6× 31 0.7× 115 2.6× 18 294
Katie Mellor United Kingdom 12 93 1.1× 107 1.5× 44 0.8× 22 0.5× 48 1.1× 29 327
Cécile Camberlin United States 10 50 0.6× 44 0.6× 62 1.2× 23 0.5× 30 0.7× 64 263

Countries citing papers authored by Sukdev Nayak

Since Specialization
Citations

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

Fields of papers citing papers by Sukdev Nayak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukdev Nayak

This figure shows the co-authorship network connecting the top 25 collaborators of Sukdev Nayak. A scholar is included among the top collaborators of Sukdev Nayak 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 Sukdev Nayak. Sukdev Nayak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Nayak, Sukdev, et al.. (2021). “Enhanced recovery after surgery – ERAS in elective craniotomies-a non-randomized controlled trial”. BMC Neurology. 21(1). 127–127. 32 indexed citations
3.
Nayak, Sukdev, et al.. (2021). Onco-Anaesthesiology and palliative medicine. Indian Journal of Anaesthesia. 65(1). 29–34. 1 indexed citations
4.
Tripathy, Swagata, et al.. (2018). Opioid-free anesthesia for breast cancer surgery: An observational study. Journal of Anaesthesiology Clinical Pharmacology. 34(1). 35–35. 44 indexed citations
5.
Pati, Sanghamitra, et al.. (2017). Treatment Experiences of Women with Reproductive Cancers in Odisha, India: A Qualitative Exploration of Enablers and Barriers. PubMed. 18(4). 1019–1024. 5 indexed citations
6.
Nayak, Sukdev, et al.. (2016). Quality of care in cancer: An exploration of patient perspectives. SHILAP Revista de lepidopterología. 5(2). 338–338. 13 indexed citations
7.
Tripathy, Swagata, et al.. (2016). Cetrimide-chlorhexidine-induced multiorgan failure in surgery of pulmonary hydatid cyst. Annals of Cardiac Anaesthesia. 19(3). 557–557. 8 indexed citations
8.
9.
Pati, Sanghamitra, Sukdev Nayak, & David Weller. (2015). Disconnect between primary care and cancer follow-up care: An exploratory study from Odisha, India. Family Medicine and Community Health. 3(3). 9–17. 4 indexed citations
10.
Digumarti, Raghunadharao, Ravi Kannan, D. K. Vijaykumar, et al.. (2015). Institutional external peer review: A unique National Cancer Grid initiative. Indian Journal of Medical and Paediatric Oncology. 36(3). 186–188. 3 indexed citations
11.
Pati, Sanghamitra, et al.. (2013). Patient navigation pathway and barriers to treatment seeking in cancer in India: A qualitative inquiry. Cancer Epidemiology. 37(6). 973–978. 65 indexed citations
12.
Hussain, Mohammad Akhtar, et al.. (2012). Pattern and Trends of Cancer in Odisha, India: A Retrospective Study. Asian Pacific Journal of Cancer Prevention. 13(12). 6333–6336. 27 indexed citations
13.

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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