Betsy Blunk

491 total citations
10 papers, 301 citations indexed

About

Betsy Blunk is a scholar working on Oncology, Hematology and Genetics. According to data from OpenAlex, Betsy Blunk has authored 10 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Hematology and 3 papers in Genetics. Recurrent topics in Betsy Blunk's work include CAR-T cell therapy research (7 papers), Biomedical and Engineering Education (2 papers) and Safe Handling of Antineoplastic Drugs (2 papers). Betsy Blunk is often cited by papers focused on CAR-T cell therapy research (7 papers), Biomedical and Engineering Education (2 papers) and Safe Handling of Antineoplastic Drugs (2 papers). Betsy Blunk collaborates with scholars based in United States. Betsy Blunk's co-authors include Elizabeth J. Shpall, Yago Nieto, Peggy Russell, Ian McNiece, Roy B. Jones, Nancy Madinger, William F. Ward, Ralph Quinones, Brian M. Freed and E. Hild and has published in prestigious journals such as Blood, Bone Marrow Transplantation and Biology of Blood and Marrow Transplantation.

In The Last Decade

Betsy Blunk

8 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Betsy Blunk United States 3 252 177 84 64 58 10 301
T. Sadeghi United States 5 237 0.9× 156 0.9× 65 0.8× 65 1.0× 136 2.3× 11 358
Susan S. Kelly United States 8 122 0.5× 128 0.7× 57 0.7× 45 0.7× 61 1.1× 16 279
Benedetta Costantini Italy 8 231 0.9× 106 0.6× 176 2.1× 51 0.8× 89 1.5× 14 377
Qi‐Yun Sun China 7 144 0.6× 90 0.5× 54 0.6× 77 1.2× 34 0.6× 30 240
Benedetta Rambaldi Italy 9 118 0.5× 64 0.4× 101 1.2× 71 1.1× 51 0.9× 27 282
Jayashree Motwani United Kingdom 9 238 0.9× 71 0.4× 38 0.5× 42 0.7× 72 1.2× 24 324
Francesco Zinno Italy 11 124 0.5× 66 0.4× 85 1.0× 41 0.6× 47 0.8× 30 247
Klas Raaschou‐Jensen Denmark 8 175 0.7× 75 0.4× 74 0.9× 42 0.7× 65 1.1× 22 262
Liwei Fang China 11 244 1.0× 147 0.8× 54 0.6× 28 0.4× 108 1.9× 31 329
Yoo‐Li Kim South Korea 7 215 0.9× 146 0.8× 32 0.4× 36 0.6× 70 1.2× 8 323

Countries citing papers authored by Betsy Blunk

Since Specialization
Citations

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

Fields of papers citing papers by Betsy Blunk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Betsy Blunk. 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 Betsy Blunk. The network helps show where Betsy Blunk may publish in the future.

Co-authorship network of co-authors of Betsy Blunk

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

All Works

10 of 10 papers shown
1.
Martin, Casey, Betsy Blunk, Sarah T. Garber, et al.. (2025). Remote Patient Monitoring for 15 Vs. 30 Days in Outpatient Chimeric Antigen Receptor T-Cell Therapy (CAR-T) across a Large Health System. Transplantation and Cellular Therapy. 31(2). S223–S224.
2.
Martin, Casey, Betsy Blunk, Aravind Ramakrishnan, et al.. (2024). Comparison of 15- Vs. 30-Day Remote Patient Monitoring for Outpatient Chimeric Antigen Receptor T-Cell Therapy (CAR-T) across a Large Health System. Blood. 144(Supplement 1). 2300–2300. 1 indexed citations
3.
Battiwalla, Minoo, Michael Tees, Ian W. Flinn, et al.. (2024). Access barriers to anti-CD19+ CART therapy for NHL across a community transplant and cellular therapy network. Blood Advances. 9(2). 429–435. 4 indexed citations
5.
Gregory, Tara, Betsy Blunk, Casey Martin, et al.. (2024). Carvykti (cilta-cel) Real World Outcomes across the Sarah Cannon Transplant Cell Therapy Network. Transplantation and Cellular Therapy. 30(2). S385–S386. 1 indexed citations
6.
Battiwalla, Minoo, Michael Tees, Ian W. Flinn, et al.. (2023). Access Barriers for Anti-CD19+ Chimeric Antigen Receptor T (CAR-T) Cell Therapy for Non-Hodgkin Lymphoma (NHL) across a Large Community Transplant and Cellular Therapy Network. Transplantation and Cellular Therapy. 29(2). S55–S55. 2 indexed citations
7.
Battiwalla, Minoo, Michael Tees, Ian W. Flinn, et al.. (2023). Outcomes for Anti-CD19+ Chimeric Antigen Receptor T (CAR-T) Cell Therapy for Non Hodgkin Lymphoma (NHL) across a Large Community Transplant and Cellular Therapy Network. Transplantation and Cellular Therapy. 29(2). S211–S211.
8.
Ramakrishnan, Aravind, Paul Shaughnessy, Carlos Bachier, et al.. (2018). Autologous Stem Cell Transplant in Patients with Primary Central Nervous System Lymphoma: A Multicenter Analysis From the Sarah Cannon Blood Cancer Network. Biology of Blood and Marrow Transplantation. 24(3). S259–S260. 1 indexed citations
9.
McNiece, Ian, et al.. (2005). Prognostic analysis of pre-transplant peripheral T-cell levels in patients receiving an autologous hematopoietic progenitor-cell transplant. Bone Marrow Transplantation. 36(5). 425–430. 6 indexed citations
10.
Shpall, Elizabeth J., Ralph Quinones, Roger Giller, et al.. (2002). Transplantation of ex vivo expanded cord blood. Biology of Blood and Marrow Transplantation. 8(7). 368–376. 284 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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