Jan E. Baughman

890 citations
11 papers · 400 · h-index 7

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 4
    • CAR-T cell therapy research 1
    • HER2/EGFR in Cancer Research 1
    • Acute Myeloid Leukemia Research 1

Jan E. Baughman

11 papers receiving 395 citations

Peers

Jan E. Baughman
Comparison fields: 5 of 35
  • Oncology 234
  • Pulmonary and Respiratory Medicine 64
  • Immunology 37
  • Radiology, Nuclear Medicine and Imaging 37
  • Otorhinolaryngology 8
Replace Alexandra M. Joseph with:
Alexandra M. Joseph United States
Nobutaka Kobayashi Japan
Maria A. Carrera-Haro United States
Diane Feingersh United States
Kalyani Narra United States
Thilo Sprenger Germany
Xiaozheng Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Jan E. Baughman

Since Specialization
Citations

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

Fields of papers citing papers by Jan E. Baughman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan E. Baughman. 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 Jan E. Baughman. The network helps show where Jan E. Baughman may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017194
2 2022123
3
Allele and antigen-specific treatment of rheumatoid arthritis: a double blind, placebo controlled phase 1 trial.
200328
4 201712
5 201011
6 201611
7 202511
8
A randomized, blinded, parallel group, placebo controlled pilot study evaluating the effect of PVAC treatment in patients with diffuse systemic sclerosis.
20055
9 20183
10 20191
11 20221

About Jan E. Baughman

Jan E. Baughman is a scholar working on Oncology, Hematology, Rheumatology, Pathology and Forensic Medicine and Immunology, having authored 11 papers that have together received 400 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Systemic Sclerosis and Related Diseases (1 paper), CAR-T cell therapy research (1 paper), Acute Myeloid Leukemia Research (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper), Immune Cell Function and Interaction (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Oncology (234 citations), Pulmonary and Respiratory Medicine (64 citations), Immunology (37 citations), Radiology, Nuclear Medicine and Imaging (37 citations) and Otorhinolaryngology (8 citations). Jan E. Baughman has collaborated with scholars based in United States, South Korea and Netherlands. Frequent co-authors include Howard A. Burris, Paul A. Moore, Gurunadh Reddy Chichili, Giuseppe Giaccone, Robert Joseph Lechleider, Yung‐Jue Bang, Todd Michael Bauer, Jeffrey L. Nordstrom, Do‐Youn Oh and Daniel E. Furst. Their work appears in journals such as Blood, Annals of Oncology, Journal for ImmunoTherapy of Cancer, Clinical Cancer Research and PubMed.

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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