Nikhil Pawa

876 total citations
26 papers, 462 citations indexed

About

Nikhil Pawa is a scholar working on Surgery, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Nikhil Pawa has authored 26 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 15 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Nikhil Pawa's work include Colorectal Cancer Screening and Detection (9 papers), Colorectal Cancer Surgical Treatments (7 papers) and Genetic factors in colorectal cancer (5 papers). Nikhil Pawa is often cited by papers focused on Colorectal Cancer Screening and Detection (9 papers), Colorectal Cancer Surgical Treatments (7 papers) and Genetic factors in colorectal cancer (5 papers). Nikhil Pawa collaborates with scholars based in United Kingdom, Poland and Singapore. Nikhil Pawa's co-authors include Tan Arulampalam, R W Motson, John D. Norton, Matthew G. Tutton, Dimitrios Patsouras, Christos Kontovounisios, Paris Tekkis, Gina Brown, R K S Phillips and Constantinos Simillis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Surgery and BMJ.

In The Last Decade

Nikhil Pawa

23 papers receiving 453 citations

Peers

Nikhil Pawa
Comparison fields: 5 of 47
  • Surgery 292
  • Oncology 243
  • Pulmonary and Respiratory Medicine 77
  • Pathology and Forensic Medicine 76
  • Epidemiology 64
Replace Dedrick Kok Hong Chan with:
Dedrick Kok Hong Chan Singapore
Myong Hoon Ihn South Korea
Hwee Leong Tan Singapore
Jukes P. Namm United States
Winson Jianhong Tan Singapore
Paweł Mroczkowski Germany
Bong Hwa Lee South Korea
Maria B. Schiavone United States
Tunç Eren Türkiye
Seung-Bum Ryoo South Korea
Dedrick Kok Hong Chan Singapore View profile →
Citations per field, relative to Nikhil Pawa
Nikhil Pawa · 1×
Citations per year, relative to Nikhil Pawa
Nikhil Pawa · 1×

Countries citing papers authored by Nikhil Pawa

Since Specialization
Citations

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

Fields of papers citing papers by Nikhil Pawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikhil Pawa

This figure shows the co-authorship network connecting the top 25 collaborators of Nikhil Pawa. A scholar is included among the top collaborators of Nikhil Pawa 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 Nikhil Pawa. Nikhil Pawa 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
# Work Indexed citations
1 0
2 0
3 1
4 11
5 4
6 15
7 6
8 1
9 1
10 9
11 10
12 70
13 20
14 57
15 67
16 45
17 8
18 8
19 0
20 1

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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