Jan Moritz Middeke

4.8k total citations · 1 hit paper
74 papers, 1.5k citations indexed

About

Jan Moritz Middeke is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Jan Moritz Middeke has authored 74 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Hematology, 24 papers in Genetics and 12 papers in Immunology. Recurrent topics in Jan Moritz Middeke's work include Acute Myeloid Leukemia Research (30 papers), Hematopoietic Stem Cell Transplantation (18 papers) and Chronic Lymphocytic Leukemia Research (13 papers). Jan Moritz Middeke is often cited by papers focused on Acute Myeloid Leukemia Research (30 papers), Hematopoietic Stem Cell Transplantation (18 papers) and Chronic Lymphocytic Leukemia Research (13 papers). Jan Moritz Middeke collaborates with scholars based in Germany, United States and Italy. Jan Moritz Middeke's co-authors include Martin Bornhäuser, Johannes Schetelig, Jan‐Niklas Eckardt, Karsten Wendt, Gerhard Ehninger, Malte von Bonin, Uwe Platzbecker, Nael Alakel, Katja Sockel and Christoph Röllig and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Jan Moritz Middeke

65 papers receiving 1.4k citations

Hit Papers

Ruxolitinib for Glucocorticoid-Refractory Chronic Graft-v... 2021 2026 2022 2024 2021 50 100 150 200 250
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.

  1. Ruxolitinib for Glucocorticoid-Refractory Chronic Graft-versus-Host Disease
    2021 271 citations Robert Zeiser, Ron Ram et al. profile →

Peers

Jan Moritz Middeke
Joshua Fein United States
Clay Smith United States
Mithun Vinod Shah United States
Daryl Tan Singapore
Elaine Sobral da Costa Brazil
Esa Jantunen Finland
Jerald Z. Gong United States
Honar Cherif Sweden
A Nagler Israel
Deok‐Hwan Yang South Korea
Joshua Fein United States
Jan Moritz Middeke
Citations per year, relative to Jan Moritz Middeke Jan Moritz Middeke (= 1×) peers Joshua Fein

Countries citing papers authored by Jan Moritz Middeke

Since Specialization
Citations

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

Fields of papers citing papers by Jan Moritz Middeke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Moritz Middeke. 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 Jan Moritz Middeke. The network helps show where Jan Moritz Middeke may publish in the future.

Co-authorship network of co-authors of Jan Moritz Middeke

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Moritz Middeke. A scholar is included among the top collaborators of Jan Moritz Middeke 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 Jan Moritz Middeke. Jan Moritz Middeke 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
1.
Eckardt, Jan‐Niklas, Susann Winter, Katja Sockel, et al.. (2025). Image-based explainable artificial intelligence accurately identifies myelodysplastic neoplasms beyond conventional signs of dysplasia. npj Precision Oncology. 10(1). 26–26.
2.
3.
Eckardt, Jan‐Niklas & Jan Moritz Middeke. (2025). Promises and challenges of artificial intelligence in haematological diagnostics. British Journal of Haematology. 207(3). 754–756. 1 indexed citations
4.
Stasik, Sebastian, Jan‐Niklas Eckardt, Christoph Röllig, et al.. (2025). The IKZF1 N159S mutation is associated with poor outcome and a distinct molecular profile in adult patients with AML. British Journal of Haematology. 206(5). 1373–1379.
5.
Röllig, Christoph, Christoph Schliemann, Leo Ruhnke, et al.. (2024). Gemtuzumab ozogamicin plus midostaurin in combination with standard ‘7 + 3’ induction therapy in newly diagnosed AML: Results from the SAL‐MODULE phase I study. British Journal of Haematology. 204(6). 2254–2258. 3 indexed citations
6.
Eckardt, Jan‐Niklas, Zenggang Pan, Karsten Wendt, et al.. (2024). Deep Learning Predicts Response to Venetoclax and Azacitidine in Patients with Newly Diagnosed Acute Myeloid Leukemia Solely Based on Bone Marrow Smear Image Data. Blood. 144(Supplement 1). 2917–2917. 1 indexed citations
7.
Schlenk, Richard F., Jan Moritz Middeke, Stefan W. Krause, et al.. (2024). Venetoclax-based salvage therapy as a bridge to transplant is feasible and effective in patients with relapsed/refractory AML. Blood Advances. 9(2). 375–385. 1 indexed citations
8.
Middeke, Jan Moritz, et al.. (2023). Neue Therapieoptionen bei der Akuten Myeloischen Leukämie. DMW - Deutsche Medizinische Wochenschrift. 148(8). 451–458. 1 indexed citations
9.
Middeke, Jan Moritz, et al.. (2023). Deciphering the genetic basis of immune thrombocytopenia: current evidence for genetic predisposition in adult ITP. Blood Advances. 7(14). 3710–3724. 14 indexed citations
10.
Sockel, Katja, Friedrich Stölzel, Christoph Röllig, et al.. (2022). Allogeneic Stem Cell Transplantation with Sequential Melphalan-Based Conditioning in AML: Residual Morphological Blast Count Determines the Risk of Relapse. SHILAP Revista de lepidopterología. 3 indexed citations
11.
Eckardt, Jan‐Niklas, Martin Bornhäuser, Karsten Wendt, & Jan Moritz Middeke. (2022). Semi-supervised learning in cancer diagnostics. Frontiers in Oncology. 12. 960984–960984. 26 indexed citations
12.
Eckardt, Jan‐Niklas, Jan Moritz Middeke, Michael Krämer, et al.. (2021). Deep learning detects acute myeloid leukemia and predicts NPM1 mutation status from bone marrow smears. Leukemia. 36(1). 111–118. 60 indexed citations
13.
Stölzel, Friedrich, Steffen Löck, Stefani Parmentier, et al.. (2019). The prevalence of extramedullary acute myeloid leukemia detected by 18FDG-PET/CT: final results from the prospective PETAML trial. Haematologica. 105(6). 1552–1558. 34 indexed citations
14.
Koristka, Stefanie, Alexandra Kegler, Ralf Bergmann, et al.. (2018). Engrafting human regulatory T cells with a flexible modular chimeric antigen receptor technology. Journal of Autoimmunity. 90. 116–131. 62 indexed citations
15.
16.
17.
Alakel, Nael, Jan Moritz Middeke, Johannes Schetelig, & Martin Bornhäuser. (2017). Prevention and treatment of tumor lysis syndrome, and the efficacy and role of rasburicase. OncoTargets and Therapy. Volume 10. 597–605. 61 indexed citations
18.
Shayegi, Nona, Nael Alakel, Jan Moritz Middeke, et al.. (2014). Allogeneic stem cell transplantation for the treatment of refractory scleromyxedema. Translational research. 165(2). 321–324. 10 indexed citations
19.
Middeke, Jan Moritz, Dietrich W. Beelen, Michael Stadler, et al.. (2012). Outcome of high-risk acute myeloid leukemia after allogeneic hematopoietic cell transplantation: negative impact of abnl(17p) and −5/5q−. Blood. 120(12). 2521–2528. 42 indexed citations
20.
Wermke, Martin, Anne Schmidt, Jan Moritz Middeke, et al.. (2012). MRI-Based Liver Iron Content Predicts for Nonrelapse Mortality in MDS and AML Patients Undergoing Allogeneic Stem Cell Transplantation. Clinical Cancer Research. 18(23). 6460–6468. 57 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Joshua Fein Breakdown of academic impact, for papers by Clay Smith Breakdown of academic impact, for papers by Mithun Vinod Shah Breakdown of academic impact, for papers by Daryl Tan Breakdown of academic impact, for papers by Elaine Sobral da Costa Breakdown of academic impact, for papers by Esa Jantunen Breakdown of academic impact, for papers by Jerald Z. Gong Breakdown of academic impact, for papers by Honar Cherif Breakdown of academic impact, for papers by A Nagler Breakdown of academic impact, for papers by Deok‐Hwan Yang
Rankless by CCL
2026