Caroline Bodner

859 citations
11 papers · 550 · h-index 8

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 2
    • Invertebrate Immune Response Mechanisms 1
    • Genomics and Chromatin Dynamics 2
    • Ubiquitin and proteasome pathways 2

Caroline Bodner

11 papers receiving 541 citations

Peers

Caroline Bodner
Comparison fields: 5 of 57
  • Hematology 194
  • Genetics 98
  • Pathology and Forensic Medicine 137
  • Immunology 147
  • Molecular Biology 269
Replace Serena De Vita with:
Serena De Vita United States
Keith A. Sikora United States
Ryusuke Matsumura Japan
Marie Trková Czechia
Tihomira I. Todorova United States
Heather M. Rooke United States
Galit Rozenfeld-Granot Israel
Paola Grazioli Italy
Naoko Negishi Japan
Cristina Jiménez Spain
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Citations per field
00.5×3.2×
Serena De Vita · 1×
Citations per year

Countries citing papers authored by Caroline Bodner

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Bodner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2006168
2 2009122
3 200967
4 200562
5 200340
6 201137
7 200830
8 200917
9
Antigen-specific immunomodulation in multiple sclerosis patients treated with MBP encoding DNA plasmid (BHT-3009) alone or combined with atorvastatin
20064
10 20062
11 20061

About Caroline Bodner

Caroline Bodner is a scholar working on Immunology, Molecular Biology, Hematology, Pathology and Forensic Medicine and Epidemiology, having authored 11 papers that have together received 550 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Immunotherapy and Immune Responses (2 papers), Genomics and Chromatin Dynamics (2 papers), T-cell and B-cell Immunology (2 papers), Ubiquitin and proteasome pathways (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Restless Legs Syndrome Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (194 citations), Genetics (98 citations), Pathology and Forensic Medicine (137 citations), Immunology (147 citations) and Molecular Biology (269 citations). Caroline Bodner has collaborated with scholars based in Canada, United Kingdom and Taiwan. Frequent co-authors include R. Keith Humphries, Cheryl D. Helgason, Hugh W. Brock, Jay L. Hess, Cynthia L. Fisher, Amit Bar‐Or, Sudabeh Alatab, Hideaki Ohta, Masaaki Niino and Nicolas Pineault. Their work appears in journals such as Blood, Journal of Biological Chemistry, Annals of Neurology, Haematologica and Clinical Immunology.

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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