Hans‐Peter Kiem

21.0k total citations · 3 hit papers
307 papers, 10.0k citations indexed

About

Hans‐Peter Kiem is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Hans‐Peter Kiem has authored 307 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Genetics, 162 papers in Molecular Biology and 91 papers in Oncology. Recurrent topics in Hans‐Peter Kiem's work include Virus-based gene therapy research (170 papers), CRISPR and Genetic Engineering (85 papers) and CAR-T cell therapy research (77 papers). Hans‐Peter Kiem is often cited by papers focused on Virus-based gene therapy research (170 papers), CRISPR and Genetic Engineering (85 papers) and CAR-T cell therapy research (77 papers). Hans‐Peter Kiem collaborates with scholars based in United States, South Africa and Germany. Hans‐Peter Kiem's co-authors include Rainer Storb, Brian C. Beard, Grant D. Trobridge, Richard A. Nash, Jennifer E. Adair, H. Joachim Deeg, Julia Morris, Christopher W. Peterson, Paul J. Martin and KG Blume and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Hans‐Peter Kiem

296 papers receiving 9.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Use of a SCID mouse/human lymphoma model to evaluate cytokine-induced killer cells with potent antitumor cell activity.

1991 518 citations Hans‐Peter Kiem et al. profile →
Stable Mixed Hematopoietic Chimerism in DLA-Identical Littermate Dogs Given Sublethal Total Body Irradiation Before and Pharmacological Immunosuppression After Marrow Transplantation

1997 492 citations Rainer Storb, Richard A. Nash et al. Blood profile →
Comparative analysis of risk factors for acute graft-versus-host disease and for chronic graft-versus-host disease according to National Institutes of Health consensus criteria

2011 453 citations Mary E.D. Flowers, Yoshihiro Inamoto et al. Blood profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hans‐Peter Kiem United States	53	4.6k	3.8k	3.1k	2.9k	2.6k	307	10.0k
Boris Fehse Germany	54	5.1k 1.1×	2.8k 0.7×	2.0k 0.7×	2.7k 0.9×	1.5k 0.6×	252	9.2k
Robert E. Donahue United States	46	3.9k 0.8×	3.5k 0.9×	2.0k 0.7×	1.9k 0.7×	1.9k 0.7×	177	7.8k
Alessandro Aiuti Italy	50	4.3k 0.9×	3.4k 0.9×	1.3k 0.4×	3.6k 1.3×	3.8k 1.5×	193	10.1k
Kenneth I. Weinberg United States	51	3.9k 0.8×	1.7k 0.5×	2.1k 0.7×	2.2k 0.8×	4.1k 1.6×	180	10.8k
Fulvio Mavilio Italy	58	9.4k 2.0×	4.8k 1.3×	1.5k 0.5×	2.7k 0.9×	2.0k 0.8×	190	14.6k
Marina Cavazzana France	65	7.0k 1.5×	6.0k 1.6×	3.1k 1.0×	3.5k 1.2×	5.2k 2.0×	303	14.7k
Donald B. Kohn United States	69	9.8k 2.1×	7.8k 2.1×	1.5k 0.5×	3.6k 1.3×	3.1k 1.2×	361	16.0k
Claudio Bordignon Italy	58	5.9k 1.3×	4.7k 1.2×	2.0k 0.6×	5.9k 2.0×	5.0k 1.9×	222	14.1k
Kenneth Cornetta United States	46	3.3k 0.7×	3.1k 0.8×	1.3k 0.4×	2.4k 0.8×	1.3k 0.5×	171	7.1k
Megan Sykes United States	75	3.5k 0.8×	3.6k 1.0×	6.6k 2.1×	2.6k 0.9×	10.7k 4.1×	411	20.9k

Countries citing papers authored by Hans‐Peter Kiem

Since Specialization

Citations

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

Fields of papers citing papers by Hans‐Peter Kiem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans‐Peter Kiem. 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 Hans‐Peter Kiem. The network helps show where Hans‐Peter Kiem may publish in the future.

Co-authorship network of co-authors of Hans‐Peter Kiem

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

All Works

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20 of 20 papers shown

Petty, Nicholas, Stefan Radtke, Olivier Humbert, et al.. (2025). Protection of CD33-modified hematopoietic stem cell progeny from CD33-directed CAR T cells in rhesus macaques. Blood Advances. 9(10). 2367–2378.

Bui, John, et al.. (2024). CD20 CAR T cells safely and reversibly ablate B cell follicles in a non-human primate model of HIV persistence. Molecular Therapy. 32(5). 1238–1251. 3 indexed citations

Radtke, Stefan, George S. Laszlo, Nicholas Petty, et al.. (2024). CD45-Directed Radioimmunotherapy with the Alpha-Emitter Astatine-211 As Conditioning for Autologous Hematopoietic Stem/Progenitor Cell Gene Therapy: Results from a Nonhuman Primate Model. Blood. 144(Supplement 1). 2014–2014.

Li, Chang, Peter Ruminski, Michael P. Rettig, et al.. (2024). A simplified G-CSF–free procedure allows for in vivo HSC gene therapy of sickle cell disease in a mouse model. Blood Advances. 8(15). 4089–4101. 7 indexed citations

Li, Chang, Aphrodite Georgakopoulou, Gregory A. Newby, et al.. (2023). In vivo HSC prime editing rescues Sickle Cell Disease in a mouse model. Blood. 141(17). 2085–2099. 51 indexed citations

Kiem, Hans‐Peter, et al.. (2023). Choosing the right mouse model: comparison of humanized NSG and NBSGW mice for in vivo HSC gene therapy. Blood Advances. 8(4). 916–926. 7 indexed citations

Radtke, Stefan, Mark Enstrom, Dnyanada Pande, et al.. (2023). Stochastic fate decisions of HSCs after transplantation: early contribution, symmetric expansion, and pool formation. Blood. 142(1). 33–43. 10 indexed citations

Galy, Anne, Ben Berkhout, Karine Breckpot, et al.. (2023). Recent Advances Using Genetic Therapies Against Infectious Diseases and for Vaccination. Human Gene Therapy. 34(17-18). 896–904. 2 indexed citations

North, Khrystyna, Salima Benbarche, Bo Liu, et al.. (2022). Synthetic introns enable splicing factor mutation-dependent targeting of cancer cells. Nature Biotechnology. 40(7). 1103–1113. 38 indexed citations

10.

Humbert, Olivier, et al.. (2022). Efficient polymer nanoparticle-mediated delivery of gene editing reagents into human hematopoietic stem and progenitor cells. Molecular Therapy. 30(6). 2186–2198. 24 indexed citations

11.

Li, Chang, Aphrodite Georgakopoulou, Gregory A. Newby, et al.. (2022). In vivo base editing by a single i.v. vector injection for treatment of hemoglobinopathies. JCI Insight. 7(19). 24 indexed citations

12.

Singh, Swati, Chun‐Yu Chen, Chong Li, et al.. (2022). Intraosseous delivery of platelet-targeted factor VIII lentiviral vector in humanized NBSGW mice. Blood Advances. 6(19). 5556–5569. 5 indexed citations

13.

Sheih, Alyssa, Valentin Voillet, Laïla‐Aïcha Hanafi, et al.. (2020). Clonal kinetics and single-cell transcriptional profiling of CAR-T cells in patients undergoing CD19 CAR-T immunotherapy. Nature Communications. 11(1). 219–219. 177 indexed citations

14.

Humbert, Olivier, Stefan Radtke, Sowmya Reddy, et al.. (2019). Therapeutically relevant engraftment of a CRISPR-Cas9–edited HSC-enriched population with HbF reactivation in nonhuman primates. Science Translational Medicine. 11(503). 87 indexed citations

15.

Shahbazi, Reza, Sara Kubek, Kevin G. Haworth, et al.. (2019). Targeted homology-directed repair in blood stem and progenitor cells with CRISPR nanoformulations. Nature Materials. 18(10). 1124–1132. 135 indexed citations

16.

Radtke, Stefan, Jennifer E. Adair, Morgan A. Giese, et al.. (2017). A distinct hematopoietic stem cell population for rapid multilineage engraftment in nonhuman primates. Science Translational Medicine. 9(414). 75 indexed citations

17.

Richter, Maximilian, Kamola Saydaminova, Roma Yumul, et al.. (2016). In vivo transduction of primitive mobilized hematopoietic stem cells after intravenous injection of integrating adenovirus vectors. Blood. 128(18). 2206–2217. 84 indexed citations

18.

Flowers, Mary E.D., Yoshihiro Inamoto, Paul A. Carpenter, et al.. (2011). Comparative analysis of risk factors for acute graft-versus-host disease and for chronic graft-versus-host disease according to National Institutes of Health consensus criteria. Blood. 117(11). 3214–3219. 453 indexed citations breakdown →

19.

Purton, Louise E., Julia Morris, Irwin D. Bernstein, Steven Collins, & Hans‐Peter Kiem. (2001). All- trans Retinoic Acid Facilitates Oncoretrovirus-Mediated Transduction of Hematopoietic Repopulating Stem Cells. Journal of Hematotherapy & Stem Cell Research. 10(6). 815–825. 1 indexed citations

20.

Göerner, Martin, et al.. (2000). Expansion and Transduction of Nonenriched Human Cord Blood Cells Using HS-5 Conditioned Medium and FLT3-L. Journal of Hematotherapy & Stem Cell Research. 9(5). 759–765. 9 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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