Ameya Apte

578 citations
6 papers · 481 · h-index 4

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 1
    • Immune Cell Function and Interaction 1
    • Immunotherapy and Immune Responses 1

Ameya Apte

5 papers receiving 468 citations

Peers

Ameya Apte
Comparison fields: 5 of 61
  • Immunology 235
  • Oncology 160
  • Molecular Biology 251
  • Biotechnology 23
  • Genetics 73
Replace Faith M. Musenge with:
Faith M. Musenge United States
Ziwei Tang China
Matthias Birtel Germany
Ariel Isser United States
Lin Fang China
Daniel Reidenbach United Kingdom
Valentina Grosso Italy
Jamal A. Elkhader United States
Ayla Debraekeleer Belgium
Ameya Apte relative to Faith M. Musenge United States Faith M. Musenge's profile →
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Citations per year

Countries citing papers authored by Ameya Apte

Since Specialization
Citations

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

Fields of papers citing papers by Ameya Apte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ameya Apte, 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 Ameya Apte Line = papers co-authored together Ameya Apte links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Ameya Apte

Ameya Apte is a scholar working on Oncology, Immunology, Computer Networks and Communications, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 481 indexed citations. Recurring topics across this work include IoT-based Smart Home Systems (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Multimedia Communication and Technology (1 paper), Immune Cell Function and Interaction (1 paper), CAR-T cell therapy research (1 paper), Advanced Steganography and Watermarking Techniques (1 paper), IoT and Edge/Fog Computing (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (235 citations), Oncology (160 citations), Molecular Biology (251 citations), Biotechnology (23 citations) and Genetics (73 citations). Ameya Apte has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Ashley N. Davis, Joshua P. Frederick, Susannah L. Hewitt, Ailin Bai, D. R. Shackleton Bailey, Kristen Arnold, Sima J. Zacharek, Kristine E. Burke, Samuel J. Farlow and Maria S. Iliou. Their work appears in journals such as Clinical Cancer Research, Science Translational Medicine, Advances in intelligent systems and computing and Regular and Young Investigator Award Abstracts.

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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