Benjamin Philipson

557 citations
8 papers · 397 · h-index 7

Impact in

    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • Immune cells in cancer

Papers in

    • CAR-T cell therapy research 5
    • Virus-based gene therapy research 3

Benjamin Philipson

8 papers receiving 392 citations

Peers

Benjamin Philipson
Comparison fields: 5 of 69
  • Oncology 172
  • Immunology 117
  • Cancer Research 59
  • Clinical Biochemistry 20
  • Molecular Biology 198
Replace Maria Livia Sassano with:
Maria Livia Sassano Belgium
Hongcheng Cheng China
Sarbajeet Nagdas United States
Katalin Sándor United States
Sara Caratelli Italy
Benjamin Tschumi Switzerland
Edward J. Sanderlin United States
Alice Abélanet France
Jingwei Sim Singapore
Delin Kong China
Benjamin Philipson relative to Maria Livia Sassano Belgium Maria Livia Sassano's profile →
Citations per field
00.5×9.5×
Maria Livia Sassano · 1×
Citations per year

Countries citing papers authored by Benjamin Philipson

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Philipson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2020136
2 2018126
3 201485
4 202223
5 202110
6 20218
7 20168
8 20181

About Benjamin Philipson

Benjamin Philipson is a scholar working on Oncology, Genetics, Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 397 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (2 papers), Postharvest Quality and Shelf Life Management (1 paper), Trace Elements in Health (1 paper), Nanowire Synthesis and Applications (1 paper), Healthcare cost, quality, practices (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Oncology (172 citations), Immunology (117 citations), Cancer Research (59 citations), Clinical Biochemistry (20 citations) and Molecular Biology (198 citations). Benjamin Philipson has collaborated with scholars based in United States. Frequent co-authors include J. Kevin Foskett, Michael C. Milone, Carl H. June, Roddy S. O’Connor, Steven Μ. Albelda, Michael J. May, Andrew J. Worth, Sophie Trefely, Ian A. Blair and Nathaniel W. Snyder. Their work appears in journals such as Scientific Reports, Chemical Senses, Journal of Molecular and Cellular Cardiology, Molecular Therapy — Oncolytics and Cells.

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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