Sunil Pandit

1.6k citations
7 papers · 360 · h-index 4

Impact in

Papers in

    • DNA Repair Mechanisms 1
    • S100 Proteins and Annexins 1
    • Protein Degradation and Inhibitors 1
    • CAR-T cell therapy research 2

Sunil Pandit

7 papers receiving 355 citations

Peers

Sunil Pandit
Comparison fields: 5 of 72
  • Cancer Research 79
  • Biomaterials 48
  • Molecular Biology 228
  • Clinical Biochemistry 19
  • Genetics 25
Replace Valentina Minieri with:
Valentina Minieri Italy
Iman Saramipoor Behbahan United States
Romain Salza France
Phan Nguyen Nhi Nguyen Taiwan
Elizabeth M. Perruccio United States
Kelly Elian Canada
Guangrong Song China
Thomas R. Cotton Australia
Hana Okhrimenko Israel
Petra Hautvast Germany
Sunil Pandit relative to Valentina Minieri Italy Valentina Minieri's profile →
Citations per field
00.5×3.4×
Valentina Minieri · 1×
Citations per year

Countries citing papers authored by Sunil Pandit

Since Specialization
Citations

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

Fields of papers citing papers by Sunil Pandit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sunil Pandit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sunil Pandit Line = papers co-authored together Sunil Pandit links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Detection of mitochondrial DNA mutations in primary breast cancer and fine-needle aspirates.
2001217
2 2006102
3 199620
4 202417
5 20192
6 20201
7 20201

About Sunil Pandit

Sunil Pandit is a scholar working on Molecular Biology, Oncology, Hematology, Biomaterials and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 360 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (2 papers), CAR-T cell therapy research (2 papers), DNA Repair Mechanisms (1 paper), Alzheimer's disease research and treatments (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper), S100 Proteins and Annexins (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Cancer Research (79 citations), Biomaterials (48 citations), Molecular Biology (228 citations), Clinical Biochemistry (19 citations) and Genetics (25 citations). Sunil Pandit has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Joseph A. Frank, Edyta Pawelczyk, Ali S. Arbab, Vito Michele Fazio, Daniel Cohen, Yan Xiao, Edward Gabrielson, Carla Rabitti, Paola Parrella and Montse Sánchez‐Céspedes. Their work appears in journals such as Ageing Research Reviews, Blood, NMR in Biomedicine, Genetics and Biology of Blood and Marrow Transplantation.

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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