Theodore P. Braun

2.8k total citations · 1 hit paper
45 papers, 1.5k citations indexed

About

Theodore P. Braun is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Theodore P. Braun has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 18 papers in Hematology and 11 papers in Genetics. Recurrent topics in Theodore P. Braun's work include Acute Myeloid Leukemia Research (15 papers), Histone Deacetylase Inhibitors Research (8 papers) and Epigenetics and DNA Methylation (7 papers). Theodore P. Braun is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), Histone Deacetylase Inhibitors Research (8 papers) and Epigenetics and DNA Methylation (7 papers). Theodore P. Braun collaborates with scholars based in United States, Germany and Canada. Theodore P. Braun's co-authors include Daniel L. Marks, Brian Druker, Christopher A. Eide, Xinxia Zhu, Aaron J. Grossberg, Peter R. Levasseur, Marek Szumowski, Julia E. Maxson, A. K. Batra and Vickie E. Baracos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Theodore P. Braun

42 papers receiving 1.4k citations

Hit Papers

Response and Resistance t... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Theodore P. Braun 577 472 240 168 149 45 1.5k
Lorena Arranz 539 0.9× 296 0.6× 532 2.2× 483 2.9× 71 0.5× 39 2.1k
Lucas K. Smith 720 1.2× 615 1.3× 106 0.4× 109 0.6× 85 0.6× 14 2.3k
Sébastien Talbot 371 0.6× 636 1.3× 64 0.3× 275 1.6× 83 0.6× 78 1.8k
M. L. Reynolds 692 1.2× 623 1.3× 64 0.3× 83 0.5× 111 0.7× 39 2.6k
Andrew D. Greenhalgh 676 1.2× 270 0.6× 107 0.4× 112 0.7× 50 0.3× 34 2.7k
Danielle Tenen 846 1.5× 718 1.5× 80 0.3× 79 0.5× 343 2.3× 17 1.9k
Barbara King 240 0.4× 875 1.9× 60 0.3× 56 0.3× 232 1.6× 60 1.7k
Viviana Nociti 503 0.9× 129 0.3× 78 0.3× 48 0.3× 103 0.7× 78 2.1k
R. H. M. King 732 1.3× 813 1.7× 173 0.7× 121 0.7× 18 0.1× 58 2.8k
Tea Shavlakadze 1.3k 2.3× 944 2.0× 26 0.1× 147 0.9× 110 0.7× 40 2.4k

Countries citing papers authored by Theodore P. Braun

Since Specialization
Citations

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

Fields of papers citing papers by Theodore P. Braun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theodore P. Braun

This figure shows the co-authorship network connecting the top 25 collaborators of Theodore P. Braun. A scholar is included among the top collaborators of Theodore P. Braun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Theodore P. Braun. Theodore P. Braun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Nguyen, TuDung T., Hans L. Carlson, Sunil Shrestha, et al.. (2025). Dual ASXL1 and CSF3R mutations drive myeloid-biased stem cell expansion and enhance neutrophil differentiation. Blood Advances. 9(7). 1593–1607.
2.
Lusardi, Theresa A., et al.. (2024). CITEViz: interactively classify cell populations in CITE-Seq via a flow cytometry-like gating workflow using R-Shiny. BMC Bioinformatics. 25(1). 142–142. 1 indexed citations
3.
Lachowiez, Curtis A., Joshua F. Zeidner, D. Peters, et al.. (2024). Influence of AML Differentiation State in Risk Stratification of Frontline Therapy with Hypomethylating Agents + Venetoclax in AML. Blood. 144(Supplement 1). 62–62.
4.
Estabrook, Joseph, Julia Somers, Olga Nikolova, et al.. (2024). Predicting transcription factor activity using prior biological information. iScience. 27(3). 109124–109124. 1 indexed citations
5.
Coleman, Daniel J., Joseph Estabrook, Emek Demir, et al.. (2023). Disruption of the MYC Superenhancer Complex by Dual Targeting of FLT3 and LSD1 in Acute Myeloid Leukemia. Molecular Cancer Research. 21(7). 631–647. 5 indexed citations
6.
Braun, Theodore P., et al.. (2023). Multicancer Early Detection Tests: An Overview of Early Results From Prospective Clinical Studies and Opportunities for Oncologists. JCO Oncology Practice. 19(12). 1111–1115. 6 indexed citations
8.
Druker, Brian, et al.. (2022). Mutated SETBP1 activates transcription of Myc programs to accelerate CSF3R -driven myeloproliferative neoplasms. Blood. 140(6). 644–658. 9 indexed citations
9.
Coleman, Daniel J., et al.. (2022). GoPeaks: histone modification peak calling for CUT&Tag. Genome biology. 23(1). 144–144. 25 indexed citations
10.
Tsuchiya, Mitsuhiro, Yiu Huen Tsang, Wesley Horton, et al.. (2022). PU.1 and MYC transcriptional network defines synergistic drug responses to KIT and LSD1 inhibition in acute myeloid leukemia. Leukemia. 36(7). 1781–1793. 8 indexed citations
11.
Braun, Theodore P., Joseph Estabrook, Cody Coblentz, et al.. (2022). Asxl1 deletion disrupts MYC and RNA polymerase II function in granulocyte progenitors. Leukemia. 37(2). 478–487.
12.
Maxson, Julia E., et al.. (2021). Outgrowth of a CSF3R-mutant clone drives a second myeloproliferative neoplasm in a chronic myeloid leukemia patient: a case report. Biomarker Research. 9(1). 8–8. 1 indexed citations
13.
Braun, Theodore P., Christopher A. Eide, & Brian Druker. (2020). Response and Resistance to BCR-ABL1-Targeted Therapies. Cancer Cell. 37(4). 530–542. 308 indexed citations breakdown →
14.
Braun, Theodore P., Marek Szumowski, Peter R. Levasseur, et al.. (2014). Muscle Atrophy in Response to Cytotoxic Chemotherapy Is Dependent on Intact Glucocorticoid Signaling in Skeletal Muscle. PLoS ONE. 9(9). e106489–e106489. 72 indexed citations
15.
Braun, Theodore P., Benjamin Orwoll, Xinxia Zhu, et al.. (2012). Regulation of Lean Mass, Bone Mass, and Exercise Tolerance by the Central Melanocortin System. PLoS ONE. 7(7). e42183–e42183. 12 indexed citations
16.
Tan, Benjamin, Torill Fladvad, Theodore P. Braun, et al.. (2012). P‐selectin genotype is associated with the development of cancer cachexia. EMBO Molecular Medicine. 4(6). 462–471. 37 indexed citations
17.
Grant, Wilmon F., Melanie B. Gillingham, A. K. Batra, et al.. (2011). Maternal High Fat Diet Is Associated with Decreased Plasma n–3 Fatty Acids and Fetal Hepatic Apoptosis in Nonhuman Primates. PLoS ONE. 6(2). e17261–e17261. 79 indexed citations
18.
Braun, Theodore P. & Daniel L. Marks. (2011). Hypothalamic regulation of muscle metabolism. Current Opinion in Clinical Nutrition & Metabolic Care. 14(3). 237–242. 12 indexed citations
19.
Seguin, Thierry, Theodore P. Braun, & Jean‐Paul Mira. (2007). Progéniteurs endothéliaux circulants: nouveaux biomarqueurs et thérapeutique du futur en réanimation. Médecine et Maladies Infectieuses. 37(6). 305–311. 2 indexed citations
20.
Kelly, Jane X., et al.. (2006). Selective killing of the human malaria parasite Plasmodium falciparum by a benzylthiazolium dye. Experimental Parasitology. 116(2). 103–110. 7 indexed citations

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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