David Bartos

507 citations
8 papers · 432 · h-index 8

Impact in

    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • NF-κB Signaling Pathways

Papers in

    • Cell death mechanisms and regulation 2
    • Biochemical and Molecular Research 1
    • interferon and immune responses 2

David Bartos

8 papers receiving 425 citations

Peers

David Bartos
Comparison fields: 5 of 66
  • Immunology 179
  • Cancer Research 110
  • Molecular Biology 252
  • Oncology 99
  • Immunology and Allergy 19
Replace Longzhen Piao with:
Longzhen Piao China
Marta Derecka United States
R. Rana Italy
Xiaotang Hu United States
Tiziana Piazza Italy
Himavanth R. Gatla United States
Uschi Braun United States
E.D. Kwon United States
Anke Theil Germany
Gary Guo United States
David Bartos relative to Longzhen Piao China Longzhen Piao's profile →
Citations per field
00.5×1.5×2.1×
Longzhen Piao · 1×
Citations per year

Countries citing papers authored by David Bartos

Since Specialization
Citations

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

Fields of papers citing papers by David Bartos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside David Bartos, 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 Bartos Line = papers co-authored together David Bartos links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1999199
2 199594
3 200250
4 200035
5 198723
6 198812
7 198710
8 20029

About David Bartos

David Bartos is a scholar working on Molecular Biology, Immunology, Oncology, Clinical Biochemistry and Genetics, having authored 8 papers that have together received 432 indexed citations. Recurring topics across this work include interferon and immune responses (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Metabolism and Genetic Disorders (2 papers), Virus-based gene therapy research (2 papers), Cell death mechanisms and regulation (2 papers), Medicinal Plant Pharmacodynamics Research (1 paper), Animal Genetics and Reproduction (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Immunology (179 citations), Cancer Research (110 citations), Molecular Biology (252 citations), Oncology (99 citations) and Immunology and Allergy (19 citations). David Bartos has collaborated with scholars based in United States. Frequent co-authors include Laurie B. Owen‐Schaub, Henry Lik‐Yuen Chan, Stephanie S. Watowich, Thomas G. Gesner, Robert Radinsky, Laura S. Angelo, Carl F. Ware, Athanasia D. Panopoulos, Ling Zhang and Fred D. Ledley. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Pediatrics, Gene, Oncogene and Cancer Letters.

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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