Padma Sampath

1.2k total citations
19 papers, 843 citations indexed

About

Padma Sampath is a scholar working on Oncology, Genetics and Immunology. According to data from OpenAlex, Padma Sampath has authored 19 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Genetics and 9 papers in Immunology. Recurrent topics in Padma Sampath's work include CAR-T cell therapy research (13 papers), Virus-based gene therapy research (12 papers) and Immunotherapy and Immune Responses (6 papers). Padma Sampath is often cited by papers focused on CAR-T cell therapy research (13 papers), Virus-based gene therapy research (12 papers) and Immunotherapy and Immune Responses (6 papers). Padma Sampath collaborates with scholars based in United States, China and India. Padma Sampath's co-authors include Steve H. Thorne, Weizhou Hou, Juan J. Rojas, Stephen H. Thorne, David L. Bartlett, Hannah Chen, Mark E. O’Malley, Paweł Kaliński, Jun Li and Rachel Sikorski and has published in prestigious journals such as Journal of Clinical Investigation, Cancer Cell and Clinical Cancer Research.

In The Last Decade

Padma Sampath

19 papers receiving 833 citations

Peers

Padma Sampath
Comparison fields: 5 of 63
  • Oncology 597
  • Genetics 517
  • Immunology 327
  • Molecular Biology 280
  • Biotechnology 112
Replace Roshni Ravindranathan with:
Roshni Ravindranathan United States
Laura Evgin United States
Mari Hirvinen Finland
Juan J. Rojas Spain
Murielle Gantzer France
Sari Pesonen Finland
Suvi Parviainen Finland
Margaret R. Duffy United Kingdom
Jacqueline Kintz France
Johanna K. Kaufmann Germany
Roshni Ravindranathan United States View profile →
Citations per field, relative to Padma Sampath
Padma Sampath · 1×
Citations per year, relative to Padma Sampath
Padma Sampath · 1×

Countries citing papers authored by Padma Sampath

Since Specialization
Citations

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

Fields of papers citing papers by Padma Sampath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padma Sampath

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 90
2 29
3 92
4 118
5 15
6 24
7 15
8 54
9 6
10 25
11 18
12 53
13 42
14 54
15 115
16 24
17 41
18 25
19
Physiological and nutritional factors affecting biosynthesis of extracellular protease by Streptomyces spp. G157.
3

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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