Brian P. Tullius

551 citations
12 papers · 345 · h-index 10

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 1
    • CAR-T cell therapy research 5
    • COVID-19 and healthcare impacts 1

Brian P. Tullius

11 papers receiving 343 citations

Peers

Brian P. Tullius
Comparison fields: 5 of 56
  • Immunology 103
  • Infectious Diseases 87
  • Oncology 108
  • Internal Medicine 8
  • Hematology 26
Replace Line Dam Heftdal with:
Line Dam Heftdal Denmark
Simone De Nitto Italy
Cristina Alba Spain
János Sinkó Hungary
Lohith Gowda United States
Kening Li China
Tumas Beinortas United Kingdom
Yuanwang Qiu China
Junhong Ai China
Rabah Redjoul France
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Citations per field
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Citations per year

Countries citing papers authored by Brian P. Tullius

Since Specialization
Citations

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

Fields of papers citing papers by Brian P. Tullius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian P. Tullius. 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 Brian P. Tullius. The network helps show where Brian P. Tullius may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2021140
2 202155
3 201834
4 202230
5 202018
6 202317
7 202015
8 201713
9 202310
10 20209
11 20194
12 20240

About Brian P. Tullius

Brian P. Tullius is a scholar working on Immunology, Oncology, Hematology, Molecular Biology and Physiology, having authored 12 papers that have together received 345 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (5 papers), Hematopoietic Stem Cell Transplantation (2 papers), Acute Myeloid Leukemia Research (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), COVID-19 and healthcare impacts (1 paper), T-cell and B-cell Immunology (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Immunology (103 citations), Infectious Diseases (87 citations), Oncology (108 citations), Internal Medicine (8 citations) and Hematology (26 citations). Brian P. Tullius has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Margaret Lamb, Dean A. Lee, Jeffery J. Auletta, Jennifer A. Belsky, Joseph Stanek, Hemalatha G. Rangarajan, Meisam Naeimi Kararoudi, Michelle Y. Hamline, Su‐Ting T. Li and Robin J. Nakkula. Their work appears in journals such as Seminars in Hematology, Journal for ImmunoTherapy of Cancer, Frontiers in Oncology, Journal of Infection and Pediatric Blood & Cancer.

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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