Mamta Puppala

623 citations
26 papers · 365 indexed · h-index 10
Topics
AI in cancer detection (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)Global Cancer Incidence and Screening (3 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Mamta Puppala

24 papers receiving 355 citations

Peers

Mamta Puppala
Comparison fields: 5 of 82
  • Oncology 105
  • Artificial Intelligence 92
  • Public Health, Environmental and Occupational Health 79
  • Radiology, Nuclear Medicine and Imaging 70
  • General Health Professions 62
Replace Shusuke Hiragi with:
Shusuke Hiragi Japan
Roxana Sharifian Iran
Anna Siefkas United States
Asba Tasneem United States
Annelaura Bach Nielsen Denmark
Fabrizio Consorti Italy
Brecht Claerhout Spain
Todd Ferris United States
Ben J. Marafino United States
Casey Lynnette Overby United States
Mamta Puppala relative to Shusuke Hiragi Japan Shusuke Hiragi's profile →
Citations per field
00.5×10×17×
Shusuke Hiragi · 1×
Citations per year

Countries citing papers authored by Mamta Puppala

Since Specialization
Citations

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

Fields of papers citing papers by Mamta Puppala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamta Puppala

This figure shows the co-authorship network connecting the top 25 collaborators of Mamta Puppala. A scholar is included among the top collaborators of Mamta Puppala 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 Puppala. Mamta Puppala 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 1
2 1
3 3
4 8
5 4
6 4
7 80
8 23
9 8
10 30
11 1
12 25
13 21
14 13
15 2
16 48
17 3
18 1
19 0
20 36

About Mamta Puppala

Mamta Puppala is a scholar working on Health Information Management, Geriatrics and Gerontology and Emergency Medicine, having authored 26 papers that have together received 365 indexed citations. Recurring topics across this work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Health Informatics (26 citations), Health Information Management (38 citations) and Transplantation (20 citations). Mamta Puppala has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Stephen T.C. Wong, Tiancheng He, Xiaohui Yu, Jenny C. Chang, Joe Ensor, Tejal Patel, Charles E. Geyer, Angel Rodriguez, Jorge Darcourt and Roberta Schwartz. Their work appears in journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

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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