Jane Reese

1.7k total citations
52 papers, 1.1k citations indexed

About

Jane Reese is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jane Reese has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Oncology and 15 papers in Genetics. Recurrent topics in Jane Reese's work include CAR-T cell therapy research (12 papers), Virus-based gene therapy research (10 papers) and Hematopoietic Stem Cell Transplantation (9 papers). Jane Reese is often cited by papers focused on CAR-T cell therapy research (12 papers), Virus-based gene therapy research (10 papers) and Hematopoietic Stem Cell Transplantation (9 papers). Jane Reese collaborates with scholars based in United States, Italy and Chile. Jane Reese's co-authors include Stanton L. Gerson, Omer N. Koç, Brian M. Davis, Lili Liu, Steven P. Zielske, Keunmyoung Lee, Hillard M. Lazarus, Lili Liu, Jane E. Schupp and Paolo F. Caimi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Jane Reese

50 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Reese United States 19 658 388 340 316 144 52 1.1k
Christian Kjellman Sweden 20 463 0.7× 161 0.4× 234 0.7× 265 0.8× 72 0.5× 33 1.2k
Evelyne Lauret France 19 610 0.9× 125 0.3× 222 0.7× 267 0.8× 240 1.7× 49 1.2k
Takahiro Ueda Japan 17 621 0.9× 143 0.4× 175 0.5× 224 0.7× 406 2.8× 51 1.2k
Jessica Scholes United States 12 607 0.9× 201 0.5× 94 0.3× 194 0.6× 62 0.4× 17 926
Chiara Borsotti Italy 16 441 0.7× 145 0.4× 215 0.6× 321 1.0× 205 1.4× 39 1.2k
Marta Baiocchi Italy 19 794 1.2× 83 0.2× 459 1.4× 396 1.3× 151 1.0× 38 1.5k
Karin Thalmeier Germany 14 317 0.5× 142 0.4× 235 0.7× 229 0.7× 194 1.3× 16 760
Mark B. Geyer United States 17 613 0.9× 229 0.6× 814 2.4× 210 0.7× 279 1.9× 61 1.6k
Óscar Quintana-Bustamante Spain 15 472 0.7× 141 0.4× 116 0.3× 206 0.7× 85 0.6× 32 999
B. Hennemann Germany 20 374 0.6× 159 0.4× 424 1.2× 113 0.4× 117 0.8× 41 1.2k

Countries citing papers authored by Jane Reese

Since Specialization
Citations

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

Fields of papers citing papers by Jane Reese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Reese

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Reese. A scholar is included among the top collaborators of Jane Reese 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 Jane Reese. Jane Reese 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
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Deng, Changchun, Paolo F. Caimi, Umar Farooq, et al.. (2024). Phase I Study Results of UF-Kure19, a CAR-T Product Manufactured in Less Than 1 Day, in Patients with Relapsed/Refractory Non-Hodgkin's Lymphoma. Blood. 144(Supplement 1). 94–94. 1 indexed citations
3.
Lightner, Amy L., Ana Otero Piñeiro, Jane Reese, et al.. (2023). Treatment effect of ex vivo expanded allogeneic bone marrow–derived mesenchymal stem cells for the treatment of fistulizing Crohn’s disease are durable at 12 months. Surgery. 175(4). 984–990. 3 indexed citations
4.
Lightner, Amy L., Jane Reese, Justin Ream, et al.. (2023). A phase IB/IIA study of ex vivo expanded allogeneic bone marrow–derived mesenchymal stem cells for the treatment of rectovaginal fistulizing Crohn’s disease. Surgery. 175(2). 242–249. 14 indexed citations
5.
Hong, Changjin, Boro Dropulić, Paolo F. Caimi, et al.. (2022). Sequential Single-Cell Transcriptional and Protein Marker Profiling Reveals TIGIT as a Marker of CD19 CAR-T Cell Dysfunction in Patients with Non-Hodgkin Lymphoma. Cancer Discovery. 12(8). 1886–1903. 52 indexed citations
6.
Roesch, Erica A., Tracey L. Bonfield, Hillard M. Lazarus, et al.. (2022). A phase I study assessing the safety and tolerability of allogeneic mesenchymal stem cell infusion in adults with cystic fibrosis. Journal of Cystic Fibrosis. 22(3). 407–413. 15 indexed citations
7.
Fox, Robert M., Jane Reese, Paolo F. Caimi, et al.. (2020). Impact of Daratumumab on Stem Cell Collection, Graft Composition and Engraftment Among Multiple Myeloma Patients Undergoing Autologous Stem Cell Transplant. Blood. 136(Supplement 1). 35–37. 9 indexed citations
8.
Roth, Justin C., et al.. (2014). MGMT enrichment and second gene co-expression in hematopoietic progenitor cells using separate or dual-gene lentiviral vectors. Virus Research. 196. 170–180. 2 indexed citations
9.
Caimi, Paolo F., Jane Reese, Zhenghong Lee, & Hillard M. Lazarus. (2010). Emerging therapeutic approaches for multipotent mesenchymal stromal cells. Current Opinion in Hematology. 17(6). 505–513. 36 indexed citations
10.
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Zielske, Steven P., et al.. (2003). In vivo selection of MGMT(P140K) lentivirus–transduced human NOD/SCID repopulating cells without pretransplant irradiation conditioning. Journal of Clinical Investigation. 112(10). 1561–1570. 67 indexed citations
12.
13.
Zielske, Steven P., et al.. (2003). Hematopoietic stem cell gene therapy: progress toward therapeutic targets. Bone Marrow Transplantation. 32(1). 1–7. 26 indexed citations
14.
Reese, Jane, et al.. (2001). MGMT Expression in Murine Bone Marrow Is a Major Determinant of Animal Survival After Alkylating Agent Exposure. Journal of Hematotherapy & Stem Cell Research. 10(1). 115–123. 18 indexed citations
15.
Reese, Jane, Omer N. Koç, & Stanton L. Gerson. (1999). Human Mesenchymal Stem Cells Provide Stromal Support for Efficient CD34 + Transduction. Journal of Hematotherapy & Stem Cell Research. 8(5). 515–523. 27 indexed citations
16.
Davis, Brian M., et al.. (1999). O<sup>6</sup>-Benzylguanine-Resistant Mutant MGMT Genes Improve Hematopoietic Cell Tolerance to Alkylating Agents. PubMed. 36. 65–81. 9 indexed citations
17.
18.
Koç, Omer N., Jane Reese, Emese Szekely, & Stanton L. Gerson. (1999). Human long-term culture initiating cells are sensitive to benzylguanine and 1,3-bis(2-chloroethyl)-1-nitrosourea and protected after mutant (G156A) methylguanine methyltransferase gene transfer. Cancer Gene Therapy. 6(4). 340–348. 15 indexed citations
19.
Hoover, Frank, Mark Hankin, Jeff Radel, Jane Reese, & Daniel Goldman. (1997). Axon–target interactions maintain synaptic gene expression in retinae transplanted to intracranial regions of the rat. Molecular Brain Research. 51(1-2). 123–132. 3 indexed citations
20.
Hoover, Frank, Jane Reese, Jeff Radel, Daniel Goldman, & Mark Hankin. (1996). Opsin gene expression and regulation in retinal transplants. Brain Research. 718(1-2). 124–128. 3 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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