Lihua E. Budde

8.1k total citations · 3 hit papers
160 papers, 3.4k citations indexed

About

Lihua E. Budde is a scholar working on Oncology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Lihua E. Budde has authored 160 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Oncology, 82 papers in Pathology and Forensic Medicine and 36 papers in Immunology. Recurrent topics in Lihua E. Budde's work include CAR-T cell therapy research (108 papers), Lymphoma Diagnosis and Treatment (82 papers) and Chronic Lymphocytic Leukemia Research (29 papers). Lihua E. Budde is often cited by papers focused on CAR-T cell therapy research (108 papers), Lymphoma Diagnosis and Treatment (82 papers) and Chronic Lymphocytic Leukemia Research (29 papers). Lihua E. Budde collaborates with scholars based in United States, Canada and Australia. Lihua E. Budde's co-authors include Stephen J. Forman, Michael C. Jensen, Nancy L. Bartlett, Oliver W. Press, Brian G. Till, Xiuli Wang, Stanley R. Riddell, Jinjuan Wang, Yukang Lin and Tanya Siddiqi and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Lihua E. Budde

142 papers receiving 3.4k citations

Hit Papers

Phase 1 Results of ZUMA-1: A Multicenter Study of KTE-C1... 2012 2026 2016 2021 2017 2012 2022 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lihua E. Budde United States 25 3.0k 1.1k 917 734 659 160 3.4k
Brian G. Till United States 26 2.9k 1.0× 669 0.6× 1.0k 1.1× 988 1.3× 725 1.1× 135 3.5k
Tanya Siddiqi United States 29 2.5k 0.8× 1.6k 1.5× 777 0.8× 655 0.9× 449 0.7× 205 3.5k
Elise A. Chong United States 16 2.1k 0.7× 711 0.6× 638 0.7× 509 0.7× 472 0.7× 110 2.5k
Saad S. Kenderian United States 25 2.1k 0.7× 527 0.5× 790 0.9× 737 1.0× 647 1.0× 149 2.9k
Anthony R. Mato United States 24 1.9k 0.6× 1.1k 0.9× 619 0.7× 632 0.9× 462 0.7× 85 2.8k
Marco Ruella United States 29 3.2k 1.1× 374 0.3× 1.3k 1.4× 1.3k 1.7× 1.1k 1.6× 124 4.0k
Frederick L. Locke United States 34 5.2k 1.7× 977 0.9× 1.4k 1.5× 1.4k 1.9× 1.2k 1.8× 307 6.0k
Matthew J. Frigault United States 25 2.9k 1.0× 247 0.2× 851 0.9× 885 1.2× 717 1.1× 131 3.4k
Alex F. Herrera United States 28 2.5k 0.9× 2.1k 1.9× 642 0.7× 392 0.5× 196 0.3× 239 3.5k
Meng-Fen Wu United States 16 2.4k 0.8× 206 0.2× 1.0k 1.1× 815 1.1× 743 1.1× 18 2.9k

Countries citing papers authored by Lihua E. Budde

Since Specialization
Citations

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

Fields of papers citing papers by Lihua E. Budde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lihua E. Budde

This figure shows the co-authorship network connecting the top 25 collaborators of Lihua E. Budde. A scholar is included among the top collaborators of Lihua E. Budde 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 Lihua E. Budde. Lihua E. Budde 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.
Shouse, Geoffrey, Lu Chen, D. Lynne Smith, et al.. (2025). Copanlisib in combination with venetoclax in patients with relapsed/refractory mantle cell lymphoma. Leukemia & lymphoma. 66(14). 2790–2793.
2.
Ladbury, Colton, Sagus Sampath, Jeffrey Wong, et al.. (2024). Prognostic significance of fludeoxyglucose positron emission tomography delta radiomics following bridging therapy in patients with large B-cell lymphoma undergoing CAR T-cell therapy. Frontiers in Immunology. 15. 1419788–1419788. 1 indexed citations
4.
Rao, Shuquan, et al.. (2024). Revolutionizing genetic disease treatment: The case of exagamglogene autotemcel. The Innovation. 5(3). 100619–100619.
7.
Budde, Lihua E., Sarit Assouline, Laurie H. Sehn, et al.. (2024). Durable Responses With Mosunetuzumab in Relapsed/Refractory Indolent and Aggressive B-Cell Non-Hodgkin Lymphomas: Extended Follow-Up of a Phase I/II Study. Journal of Clinical Oncology. 42(19). 2250–2256. 34 indexed citations
8.
Gouni, Sushanth, et al.. (2024). Bispecific Antibody Use in Patients With Lymphoma and Multiple Myeloma. American Society of Clinical Oncology Educational Book. 44(3). e433516–e433516. 10 indexed citations
9.
Cao, Yang, et al.. (2023). Mosunetuzumab and lymphoma: latest updates from 2022 ASH annual meeting. Journal of Hematology & Oncology. 16(1). 69–69. 5 indexed citations
10.
Matasar, Matthew J., Nancy L. Bartlett, Mazyar Shadman, et al.. (2023). Mosunetuzumab Safety Profile in Patients With Relapsed/Refractory B-cell Non-Hodgkin Lymphoma: Clinical Management Experience From a Pivotal Phase I/II Trial. Clinical Lymphoma Myeloma & Leukemia. 24(4). 240–253. 10 indexed citations
11.
Ong, Shin Yeu, Matthew Mei, Leslie Popplewell, et al.. (2023). Bendamustine lymphodepletion is a well‐tolerated alternative to fludarabine and cyclophosphamide lymphodepletion for axicabtagene ciloleucel therapy for aggressive B‐cell lymphoma. American Journal of Hematology. 98(11). 1751–1761. 17 indexed citations
13.
Saumoy, Monica, Yecheskel Schneider, Lihua E. Budde, et al.. (2022). Cost-effectiveness of polatuzumab vedotin combined with chemoimmunotherapy in untreated diffuse large B-cell lymphoma. Blood. 140(25). 2697–2708. 14 indexed citations
14.
Shah, Nina, Miguel‐Angel Perales, Cameron J. Turtle, et al.. (2021). Phase I Study Protocol: NKTR-255 as Monotherapy or Combined with Daratumumab or Rituximab in Hematologic Malignancies. Future Oncology. 17(27). 3549–3560. 17 indexed citations
15.
Matasar, Matthew J., Chan Y. Cheah, Dok Hyun Yoon, et al.. (2020). Subcutaneous Mosunetuzumab in Relapsed or Refractory B-Cell Lymphoma: Promising Safety and Encouraging Efficacy in Dose Escalation Cohorts. Blood. 136(Supplement 1). 45–46. 27 indexed citations
16.
Poh, Christina, Paul Frankel, Christopher Ruel, et al.. (2019). Blinatumomab/Lenalidomide in Relapsed/Refractory Non-Hodgkin's Lymphoma: A Phase I California Cancer Consortium Study of Safety, Efficacy and Immune Correlative Analysis. Blood. 134(Supplement_1). 760–760. 25 indexed citations
17.
Herrmann, Andreas, Christoph Lahtz, Toshikage Nagao, et al.. (2017). CTLA4 Promotes Tyk2-STAT3–Dependent B-cell Oncogenicity. Cancer Research. 77(18). 5118–5128. 38 indexed citations
18.
Press, Oliver W., Philip Olsen, Sang Yun Lee, et al.. (2016). Preserved Activity of CD20-Specific Chimeric Antigen Receptor–Expressing T Cells in the Presence of Rituximab. Cancer Immunology Research. 4(6). 509–519. 22 indexed citations
19.
Wang, Xiuli, ChingLam W. Wong, Ryan Urak, et al.. (2015). CMVpp65 Vaccine Enhances the Antitumor Efficacy of Adoptively Transferred CD19-Redirected CMV-Specific T Cells. Clinical Cancer Research. 21(13). 2993–3002. 52 indexed citations
20.
Till, Brian G., Michael C. Jensen, Jinjuan Wang, et al.. (2012). CD20-specific adoptive immunotherapy for lymphoma using a chimeric antigen receptor with both CD28 and 4-1BB domains: pilot clinical trial results. Blood. 119(17). 3940–3950. 431 indexed citations breakdown →

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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