Joerg Uwe Schmohl

721 total citations
18 papers, 609 citations indexed

About

Joerg Uwe Schmohl is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Joerg Uwe Schmohl has authored 18 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 6 papers in Oncology and 6 papers in Hematology. Recurrent topics in Joerg Uwe Schmohl's work include Immune Cell Function and Interaction (9 papers), Acute Myeloid Leukemia Research (6 papers) and CAR-T cell therapy research (4 papers). Joerg Uwe Schmohl is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Acute Myeloid Leukemia Research (6 papers) and CAR-T cell therapy research (4 papers). Joerg Uwe Schmohl collaborates with scholars based in Germany, United States and Italy. Joerg Uwe Schmohl's co-authors include Daniel A. Vallera, Martin Felices, Jeffrey S. Miller, Elizabeth Taras, Ron McElmurry, Xianzheng Zhou, Bin Zhang, Valarie McCullar, Sarah Cooley and Angela Panoskaltsis‐Mortari and has published in prestigious journals such as Blood, Clinical Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Joerg Uwe Schmohl

17 papers receiving 597 citations

Peers

Joerg Uwe Schmohl
Cécile Bonnafous France
Alexander J. Lenvik United States
Elizabeth Taras United States
Peter Hinderlie United States
Michelle Gleason United States
D. A. Vallera United States
Katja Klausz Germany
Thies Rösner Germany
Jeannette Cany Netherlands
Michael Schwenkert Germany
Cécile Bonnafous France
Joerg Uwe Schmohl
Citations per year, relative to Joerg Uwe Schmohl Joerg Uwe Schmohl (= 1×) peers Cécile Bonnafous

Countries citing papers authored by Joerg Uwe Schmohl

Since Specialization
Citations

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

Fields of papers citing papers by Joerg Uwe Schmohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joerg Uwe Schmohl. 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 Joerg Uwe Schmohl. The network helps show where Joerg Uwe Schmohl may publish in the future.

Co-authorship network of co-authors of Joerg Uwe Schmohl

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

All Works

18 of 18 papers shown
1.
2.
Schmohl, Joerg Uwe, Marcus Hentrich, Peter Bojko, et al.. (2024). Effective and Successful Quantification of Leukemia-Specific Immune Cells in AML Patients’ Blood or Culture, Focusing on Intracellular Cytokine and Degranulation Assays. International Journal of Molecular Sciences. 25(13). 6983–6983. 4 indexed citations
3.
Schmohl, Joerg Uwe, Andreas Rank, Klaus Hirschbühl, et al.. (2024). In Vivo Induction of Leukemia-Specific Adaptive and Innate Immune Cells by Treatment of AML-Diseased Rats and Therapy-Refractory AML Patients with Blast Modulating Response Modifiers. International Journal of Molecular Sciences. 25(24). 13469–13469. 3 indexed citations
4.
Schmohl, Joerg Uwe, Thomas Guenther, Friedhelm R. Schuster, et al.. (2021). Expression of Surface-associated 82 kDa proMMP-9 in Lymphatic Leukemia Blast Cells Differentially Correlates With Prognosis. Anticancer Research. 41(8). 3891–3898. 1 indexed citations
5.
Schmohl, Joerg Uwe, Thomas Guenther, Friedhelm R. Schuster, et al.. (2020). Expression profiles of HMGB1 on B-CLL related leukocytes contribute to prediction of relapse. Immunobiology. 226(1). 152048–152048. 2 indexed citations
6.
Schmohl, Joerg Uwe, D.A. Todhunter, Elizabeth Taras, Veronika Bachanová, & Daniel A. Vallera. (2018). Development of a Deimmunized Bispecific Immunotoxin dDT2219 against B-Cell Malignancies. Toxins. 10(1). 32–32. 20 indexed citations
7.
Guenther, Thomas, Joerg Uwe Schmohl, Friedhelm R. Schuster, et al.. (2017). Significance of Frequencies, Compositions, and/or Antileukemic Activity of (DC-stimulated) Invariant NKT, NK and CIK Cells on the Outcome of Patients With AML, ALL and CLL. Journal of Immunotherapy. 40(6). 224–248. 34 indexed citations
8.
Vallera, Daniel A., Martin Felices, Ron McElmurry, et al.. (2016). IL15 Trispecific Killer Engagers (TriKE) Make Natural Killer Cells Specific to CD33+ Targets While Also Inducing Persistence, In Vivo Expansion, and Enhanced Function. Clinical Cancer Research. 22(14). 3440–3450. 295 indexed citations
9.
Schmohl, Joerg Uwe, Christoph Faul, Wichard Vogel, et al.. (2016). Allogeneic hematopoietic cell transplantation in patients with myelofibrosis: A single center experience. Annals of Hematology. 95(6). 973–983. 1 indexed citations
10.
Schmohl, Joerg Uwe, Tina Nuebling, Tanja Kroell, et al.. (2016). Expression of RANK‐L and in part of PD‐1 on blasts in patients with acute myeloid leukemia correlates with prognosis. European Journal Of Haematology. 97(6). 517–527. 14 indexed citations
11.
Schmohl, Joerg Uwe, et al.. (2016). Enhanced ADCC and NK Cell Activation of an Anticarcinoma Bispecific Antibody by Genetic Insertion of a Modified IL-15 Cross-linker. Molecular Therapy. 24(7). 1312–1322. 83 indexed citations
12.
Schmohl, Joerg Uwe, Donato Santovito, Thomas Guenther, et al.. (2016). Expression of surface-associated 82kDa-proMMP-9 in primary acute leukemia blast cells inversely correlates with patients' risk. Experimental Hematology. 44(5). 358–362.e5. 4 indexed citations
13.
Schmohl, Joerg Uwe, Martin Felices, D.A. Todhunter, et al.. (2016). Tetraspecific scFv construct provides NK cell mediated ADCC and self-sustaining stimuli via insertion of IL-15 as a cross-linker. Oncotarget. 7(45). 73830–73844. 55 indexed citations
14.
Schmohl, Joerg Uwe, Tina Nuebling, Tanja Kroell, et al.. (2016). Expression of 4-1Bb and Its Ligand on Blasts Correlates with Prognosis of Patients with Aml. Journal of Investigative Medicine. 64(8). 1252–1260. 7 indexed citations
15.
Schmohl, Joerg Uwe, et al.. (2015). Mutagenic Deimmunization of Diphtheria Toxin for Use in Biologic Drug Development. Toxins. 7(10). 4067–4082. 25 indexed citations
16.
Miller, Jeffrey S., Ron McElmurry, Xianzheng Zhou, et al.. (2015). Trispecific Killer Engagers (TriKEs) that contain IL-15 to make NK cells antigen specific and to sustain their persistence and expansion. Blood. 126(23). 232–232. 10 indexed citations
17.
Schmohl, Joerg Uwe, Tina Nuebling, Johannes Jung, et al.. (2015). Death Receptor Expression on Blasts in AML Is Associated with Unfavorable Prognosis.. PubMed. 35(7). 4043–52. 8 indexed citations
18.
Buechele, Corina, Tina Baessler, Stefan Wirths, et al.. (2011). Glucocorticoid-induced TNFR-related protein (GITR) ligand modulates cytokine release and NK cell reactivity in chronic lymphocytic leukemia (CLL). Leukemia. 26(5). 991–1000. 43 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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