Mamta Ruparel

892 citations
30 papers · 530 indexed · h-index 14
Topics
Lung Cancer Diagnosis and Treatment (27 papers)Global Cancer Incidence and Screening (11 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)

In The Last Decade

Mamta Ruparel

29 papers receiving 519 citations

Peers

Mamta Ruparel
Comparison fields: 5 of 63
  • Pulmonary and Respiratory Medicine 426
  • Oncology 193
  • Radiology, Nuclear Medicine and Imaging 120
  • Otorhinolaryngology 70
  • Biomedical Engineering 37
Replace Carol Callaway‐Lane with:
Carol Callaway‐Lane United States
Max Nagle United States
Sukhinder Atkar-Khattra Canada
Ferruccio Aquilini Italy
Ashley E. Prosper United States
L. Magee United Kingdom
Joelle T. Fathi United States
Alexandra L. Potter United States
T Matsumoto Japan
Melissa C. Price United States
Mamta Ruparel relative to Carol Callaway‐Lane United States Carol Callaway‐Lane's profile →
Citations per field
00.5×
Carol Callaway‐Lane · 1×
Citations per year

Countries citing papers authored by Mamta Ruparel

Since Specialization
Citations

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

Fields of papers citing papers by Mamta Ruparel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamta Ruparel

This figure shows the co-authorship network connecting the top 25 collaborators of Mamta Ruparel. A scholar is included among the top collaborators of Mamta Ruparel 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 Mamta Ruparel. Mamta Ruparel 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
#WorkIndexed citations
1 4
2 33
3 9
4 19
5 47
6 13
7 26
8 77
9 34
10 18
11 33
12 14
13 1
14 41
15 3
16 1
17 30
18 45
19 47
20 0

About Mamta Ruparel

Mamta Ruparel is a scholar working on Otorhinolaryngology, Pulmonary and Respiratory Medicine and Oncology, having authored 30 papers that have together received 530 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (27 papers), Global Cancer Incidence and Screening (11 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). The work is most often cited by research in Otorhinolaryngology (70 citations), Pulmonary and Respiratory Medicine (426 citations) and Oncology (193 citations). Mamta Ruparel has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Sam M. Janes, Samantha L. Quaife, David Baldwin, Jo Waller, Stephen W. Duffy, Neal Navani, Jennifer Dickson, Rebecca J. Beeken, Andy McEwen and Karen Sennett. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, CHEST Journal and Thorax.

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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