David Basiji

1.4k citations
11 papers · 1.0k · h-index 8

Impact in

  • Biophysics top 1%
    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Cell Image Analysis Techniques 5
    • Advanced Fluorescence Microscopy Techniques 2
    • Single-cell and spatial transcriptomics 3

David Basiji

11 papers receiving 995 citations

Peers

David Basiji
Comparison fields: 5 of 110
  • Biophysics 316
  • Immunology 191
  • Molecular Biology 483
  • Biomedical Engineering 267
  • Cancer Research 82
Replace William E. Ortyn with:
William E. Ortyn United States
Ron A. Hoebe Netherlands
Andrew Ekpenyong United States
Gordon Stamp United Kingdom
Mohammad Fallahi‐Sichani United States
Bernd Romeike Germany
Pavel Veselý Czechia
Lassi Paavolainen Finland
Vidya Venkatachalam United States
Angelika Vollmer Germany
David Basiji relative to William E. Ortyn United States William E. Ortyn's profile →
Citations per field
00.5×1.5×
William E. Ortyn · 1×
Citations per year

Countries citing papers authored by David Basiji

Since Specialization
Citations

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

Fields of papers citing papers by David Basiji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside David Basiji, 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 David Basiji Line = papers co-authored together David Basiji links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2007314
2 2006208
3 2004193
4 200688
5 200878
6 200768
7 201549
8 201213
9 20043
10 20073
11 20142

About David Basiji

David Basiji is a scholar working on Biophysics, Molecular Biology, Biomedical Engineering, Oncology and Hematology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Single-cell and spatial transcriptomics (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Microfluidic and Bio-sensing Technologies (2 papers), Acute Myeloid Leukemia Research (1 paper), Cancer Cells and Metastasis (1 paper), Immunotherapy and Immune Responses (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Biophysics (316 citations), Immunology (191 citations), Molecular Biology (483 citations), Biomedical Engineering (267 citations) and Cancer Research (82 citations). David Basiji has collaborated with scholars based in United States, Italy and France. Frequent co-authors include William E. Ortyn, Philip Morrissey, Vidya Venkatachalam, Luchuan Liang, Brian E. Hall, David J. Perry, Thaddeus C. George, David H. Lynch, Keith Frost and Thaddeus C. George. Their work appears in journals such as Cytometry Part A, Blood, Journal of Immunological Methods, Cancer Research and APOPTOSIS.

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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