Stephen Grupp

2.2k total citations · 1 hit paper
19 papers, 1.6k citations indexed

About

Stephen Grupp is a scholar working on Oncology, Neurology and Molecular Biology. According to data from OpenAlex, Stephen Grupp has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in Stephen Grupp's work include CAR-T cell therapy research (7 papers), Neuroblastoma Research and Treatments (6 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Stephen Grupp is often cited by papers focused on CAR-T cell therapy research (7 papers), Neuroblastoma Research and Treatments (6 papers) and Hematopoietic Stem Cell Transplantation (5 papers). Stephen Grupp collaborates with scholars based in United States, Canada and Switzerland. Stephen Grupp's co-authors include Margaret A. Goodell, Colin A. Sieff, G Paradis, Richard C. Mulligan, Hyung L. Kim, R. Paul Johnson, Michael Rosenzweig, Douglas Marks, MaryAnn DeMaria and Shannon L. Maude and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Stephen Grupp

19 papers receiving 1.6k citations

Hit Papers

Dye efflux studies suggest that hematopoietic stem cells ... 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Grupp United States 14 632 580 503 375 344 19 1.6k
Patrick Wuchter Germany 27 692 1.1× 575 1.0× 900 1.8× 280 0.7× 581 1.7× 119 2.1k
Selim Kuçi Germany 28 621 1.0× 569 1.0× 581 1.2× 629 1.7× 650 1.9× 53 2.0k
Gianmaria Borleri Italy 22 1.1k 1.7× 391 0.7× 523 1.0× 1.1k 2.9× 467 1.4× 43 2.2k
Julianne Chen United States 22 807 1.3× 539 0.9× 1.0k 2.0× 626 1.7× 686 2.0× 58 2.2k
Jeannine T. Holden United States 17 637 1.0× 481 0.8× 239 0.5× 282 0.8× 275 0.8× 24 1.6k
Julian D. Down United States 23 295 0.5× 532 0.9× 569 1.1× 328 0.9× 285 0.8× 50 2.0k
Xin Du China 20 512 0.8× 849 1.5× 259 0.5× 449 1.2× 539 1.6× 74 1.8k
Fernando Anjos‐Afonso United Kingdom 22 664 1.1× 998 1.7× 772 1.5× 1.0k 2.8× 487 1.4× 37 2.6k
Allison Blair United Kingdom 19 596 0.9× 810 1.4× 879 1.7× 420 1.1× 206 0.6× 53 1.8k
Jianyu Weng China 19 507 0.8× 836 1.4× 406 0.8× 519 1.4× 681 2.0× 84 2.1k

Countries citing papers authored by Stephen Grupp

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Grupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Grupp

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

All Works

19 of 19 papers shown
1.
Frangoul, Haydar, Franco Locatelli, Monica Bhatia, et al.. (2022). Efficacy and Safety of a Single Dose of Exagamglogene Autotemcel for Severe Sickle Cell Disease. Blood. 140(Supplement 1). 29–31. 15 indexed citations
2.
Grupp, Stephen, et al.. (2021). Tisagenlecleucel for treatment of children and young adults with relapsed/refractory B‐cell acute lymphoblastic leukemia. Pediatric Blood & Cancer. 68(9). e29123–e29123. 23 indexed citations
3.
Hill‐Kayser, Christine E., Zelig Tochner, Yimei Li, et al.. (2019). Outcomes After Proton Therapy for Treatment of Pediatric High-Risk Neuroblastoma. International Journal of Radiation Oncology*Biology*Physics. 104(2). 401–408. 19 indexed citations
4.
Burstein, Danielle S., et al.. (2018). Cardiac Profile of Chimeric Antigen Receptor T Cell Therapy in Children: A Single-Institution Experience. Biology of Blood and Marrow Transplantation. 24(8). 1590–1595. 99 indexed citations
5.
Barrett, David M., Shuguang Jiang, Chongyun Fang, et al.. (2016). Improved anti-leukemia activities of adoptively transferred T cells expressing bispecific T-cell engager in mice. Blood Cancer Journal. 6(6). e430–e430. 46 indexed citations
6.
Ghassemi, Saba, John Scholler, Selene Nuñez-Cruz, et al.. (2016). Minimally Ex Vivo Manipulated Gene-Modified T Cells Display Enhanced Tumor Control. Blood. 128(22). 4549–4549. 3 indexed citations
7.
Bhoj, Vijay, Dimitrios C. Arhontoulis, Gerald Wertheim, et al.. (2016). Persistence of long-lived plasma cells and humoral immunity in individuals responding to CD19-directed CAR T-cell therapy. Blood. 128(3). 360–370. 192 indexed citations
8.
Langholz, Bryan, Donna A. Wall, Kirk R. Schultz, et al.. (2015). Risk factors and timing of relapse after allogeneic transplantation in pediatric ALL: for whom and when should interventions be tested?. Bone Marrow Transplantation. 50(9). 1173–1179. 50 indexed citations
9.
Merchant, Melinda S., Sandra P. D’Angelo, Hua Zhang, et al.. (2015). Abstract 4707: Genetically engineered NY-ESO-1-specific T cells in HLA-A2+ patients with synovial sarcoma. Cancer Research. 75(15_Supplement). 4707–4707. 2 indexed citations
10.
Hill‐Kayser, Christine E., Zelig Tochner, Stefan Both, et al.. (2013). Proton versus photon radiation therapy for patients with high‐risk neuroblastoma: The need for a customized approach. Pediatric Blood & Cancer. 60(10). 1606–1611. 30 indexed citations
11.
12.
Fujii, Hisaki, Geoff D.E. Cuvelier, Kevin She, et al.. (2007). Biomarkers in newly diagnosed pediatric-extensive chronic graft-versus-host disease: a report from the Children's Oncology Group. Blood. 111(6). 3276–3285. 104 indexed citations
14.
Neely, Robert, et al.. (2004). Cell Division Rates of Primary Human Precursor B Cells in Culture Reflect In Vivo Rates. Stem Cells. 22(6). 1111–1120. 32 indexed citations
15.
Marcus, Karen J., Robert C. Shamberger, Heather J. Litman, et al.. (2003). Primary Tumor Control in Patients With Stage 3/4 Unfavorable Neuroblastoma Treated With Tandem Double Autologous Stem Cell Transplants. Journal of Pediatric Hematology/Oncology. 25(12). 934–940. 38 indexed citations
16.
Fang, Junjie, Suzanne Shusterman, Ronald D. Barr, et al.. (2001). Angiogenesis inhibitor TNP-470 during bone marrow transplant: safety in a preclinical model.. PubMed. 7(4). 1026–32. 5 indexed citations
17.
Mathias, Clarissa, Rosemarie Mick, Stephen Grupp, et al.. (2000). Soluble Interleukin-2 Receptor Concentration As a Biochemical Indicator for Acute Graft-Versus-Host Disease After Allogeneic Bone Marrow Transplantation. Journal of Hematotherapy & Stem Cell Research. 9(3). 393–400. 26 indexed citations
18.
Grier, Holcombe E., Jed B. Gorlin, Karen J. Marcus, et al.. (1998). #504 Tandem high dose therapy for children with high-risk neuroblastoma and metastatic sarcomas. Journal of Pediatric Hematology/Oncology. 20(4). 367–367. 1 indexed citations
19.
Goodell, Margaret A., Michael Rosenzweig, Hyung L. Kim, et al.. (1997). Dye efflux studies suggest that hematopoietic stem cells expressing low or undetectable levels of CD34 antigen exist in multiple species. Nature Medicine. 3(12). 1337–1345. 879 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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