Theodore T. Drashansky

498 total citations
8 papers, 129 citations indexed

About

Theodore T. Drashansky is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Theodore T. Drashansky has authored 8 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Theodore T. Drashansky's work include Immune Cell Function and Interaction (5 papers), Multiple Sclerosis Research Studies (3 papers) and Immunotherapy and Immune Responses (2 papers). Theodore T. Drashansky is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Multiple Sclerosis Research Studies (3 papers) and Immunotherapy and Immune Responses (2 papers). Theodore T. Drashansky collaborates with scholars based in United States and South Korea. Theodore T. Drashansky's co-authors include Dorina Avram, Jonathan Cho, Benjamin G. Keselowsky, Joshua M. Stewart, Kyle J. Lorentsen, Maigan A. Brusko, Eric Y. Helm, Alexander J. Kwiatkowski, Zhiguang Huo and Liang Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biomaterials and Cancer Research.

In The Last Decade

Theodore T. Drashansky

8 papers receiving 127 citations

Peers

Countries citing papers authored by Theodore T. Drashansky

Since Specialization

Citations

This map shows the geographic impact of Theodore T. Drashansky'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 T. Drashansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Theodore T. Drashansky more than expected).

Fields of papers citing papers by Theodore T. Drashansky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Theodore T. Drashansky

This figure shows the co-authorship network connecting the top 25 collaborators of Theodore T. Drashansky. A scholar is included among the top collaborators of Theodore T. Drashansky 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 T. Drashansky. Theodore T. Drashansky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Single-cell transcriptomics unveil profiles and interplay of immune subsets in rare autoimmune childhood Sjögren’s disease 2024 ·Communications Biology ·Myung‐Chul Kim, Umasankar De, Nicholas Borcherding, Lei Wang, (unknown), Indraneel Bhattacharyya, Qing Yu, Ryan Kolb, Theodore T. Drashansky, Akaluck Thatayatikom, Weizhou Zhang, Seunghee Cha	4
2	Design principles of microparticle size and immunomodulatory factor formulation dictate antigen-specific amelioration of multiple sclerosis in a mouse model 2023 ·Biomaterials ·Alexander J. Kwiatkowski, Eric Y. Helm, Joshua M. Stewart, (unknown), Theodore T. Drashansky, Dorina Avram, Benjamin G. Keselowsky	3
3	Treatment with an antigen-specific dual microparticle system reverses advanced multiple sclerosis in mice 2022 ·Proceedings of the National Academy of Sciences ·Alexander J. Kwiatkowski, Eric Y. Helm, Joshua M. Stewart, Theodore T. Drashansky, Jonathan Cho, Dorina Avram, Benjamin G. Keselowsky	15
4	BCL11B is positioned upstream of PLZF and RORγt to control thymic development of mucosal-associated invariant T cells and MAIT17 program 2021 ·iScience ·Theodore T. Drashansky, Eric Y. Helm, (unknown), (unknown), Pingyan Cheng, Xianghong Chen, (unknown), Lingsong Meng, Alexander J. Kwiatkowski, William O. Collins, Benjamin G. Keselowsky, Derek B. Sant’Angelo, Zhiguang Huo, Weizhou Zhang, Liang Zhou, Dorina Avram	12
5	Bcl11b prevents fatal autoimmunity by promoting T _reg cell program and constraining innate lineages in T _reg cells 2019 ·Science Advances ·Theodore T. Drashansky, Eric Y. Helm, Zhiguang Huo, (unknown), (unknown), Xiaoping Luo, (unknown), (unknown), Jonathan Cho, Kyle J. Lorentsen, Zhiwei Xu, Mohammad Nizam Uddin, (unknown), Liang Zhou, Dorina Avram	20
6	Abstract 4718: SR-4370, a potent and selective inhibitor of class I HDACs, suppresses AR signaling and in vivo prostate tumor growth 2019 ·Cancer Research ·Iqbal Mahmud, (unknown), Jia Wang, Ryan L. Stowe, Zhiguang Huo, Yushan Zhang, (unknown), (unknown), Theodore T. Drashansky, Dorina Avram, Yehia Daaka, William Roush, Daiqing Liao	3
7	Abstract 4718: SR-4370, a potent and selective inhibitor of class I HDACs, suppresses AR signaling and in vivo prostate tumor growth 2019 ·Iqbal Mahmud, (unknown), Jia Wang, Ryan L. Stowe, Zhiguang Huo, Yushan Zhang, (unknown), Eric Y. Helm, Theodore T. Drashansky, Dorina Avram, Yehia Daaka, William Roush, Daiqing Liao	1
8	An antigen-specific semi-therapeutic treatment with local delivery of tolerogenic factors through a dual-sized microparticle system blocks experimental autoimmune encephalomyelitis 2017 ·Biomaterials ·Jonathan Cho, Joshua M. Stewart, Theodore T. Drashansky, Maigan A. Brusko, (unknown), Kyle J. Lorentsen, Benjamin G. Keselowsky, Dorina Avram	71

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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