Ingo Müller

14.5k total citations · 1 hit paper
235 papers, 8.5k citations indexed

About

Ingo Müller is a scholar working on Hematology, Statistical and Nonlinear Physics and Genetics. According to data from OpenAlex, Ingo Müller has authored 235 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Hematology, 34 papers in Statistical and Nonlinear Physics and 31 papers in Genetics. Recurrent topics in Ingo Müller's work include Advanced Thermodynamics and Statistical Mechanics (30 papers), Hematopoietic Stem Cell Transplantation (26 papers) and Mesenchymal stem cell research (25 papers). Ingo Müller is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (30 papers), Hematopoietic Stem Cell Transplantation (26 papers) and Mesenchymal stem cell research (25 papers). Ingo Müller collaborates with scholars based in Germany, United States and Italy. Ingo Müller's co-authors include Tomasso Ruggeri, Rupert Handgretinger, Tommaso Ruggeri, Friederike Gieseke, Huibin Xu, I-Shih Liu, Gernot Bruchelt, Massimo Dominici, Christina Holzwarth and Peter Lang and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Ingo Müller

220 papers receiving 8.1k citations

Hit Papers

Rational Extended Thermodynamics 1998 2026 2007 2016 1998 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
Ingo Müller Germany 46 1.4k 1.4k 1.4k 1.2k 1.1k 235 8.5k
Sheldon Weinbaum United States 64 892 0.6× 184 0.1× 433 0.3× 3.9k 3.3× 4.2k 3.7× 237 15.9k
John C. Bischof United States 59 679 0.5× 441 0.3× 1.5k 1.1× 4.9k 4.1× 2.7k 2.4× 349 12.0k
John Lowengrub United States 60 580 0.4× 183 0.1× 4.2k 3.1× 1.5k 1.2× 1.2k 1.1× 194 11.7k
Chih‐Ming Ho United States 68 508 0.4× 80 0.1× 1.2k 0.9× 6.1k 5.1× 2.7k 2.4× 365 18.1k
George I. Bell United States 34 193 0.1× 65 0.0× 925 0.7× 1.0k 0.9× 2.8k 2.5× 92 8.7k
Wolfgang Ludwig Germany 68 2.1k 1.4× 945 0.7× 3.9k 2.8× 1.8k 1.5× 2.5k 2.2× 461 18.4k
Minoru Takahashi Japan 54 183 0.1× 432 0.3× 2.4k 1.7× 760 0.6× 630 0.6× 455 11.8k
Nian X. Sun United States 66 383 0.3× 179 0.1× 6.1k 4.5× 3.0k 2.5× 415 0.4× 642 16.1k
M. S. Wertheim United States 35 415 0.3× 101 0.1× 4.5k 3.3× 8.2k 6.8× 783 0.7× 86 12.5k
Yuwen Zhang United States 62 1.6k 1.1× 49 0.0× 1.3k 0.9× 3.1k 2.6× 881 0.8× 514 13.1k

Countries citing papers authored by Ingo Müller

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Ingo Müller. A scholar is included among the top collaborators of Ingo Müller 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 Ingo Müller. Ingo Müller 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.
Spohn, Michael, et al.. (2025). Genetic Risk Profiling Reveals Altered Glycosyltransferase Expression as a Predictor for Patient Outcome in Neuroblastoma. Journal of Clinical Medicine. 14(2). 527–527. 2 indexed citations
2.
Li, Xun, Timm Weber, Elijah D. Lowenstein, et al.. (2024). Precise CRISPR-Cas9 gene repair in autologous memory T cells to treat familial hemophagocytic lymphohistiocytosis. Science Immunology. 9(92). eadi0042–eadi0042. 6 indexed citations
3.
Pichler, Herbert, Petr Sedláček, Roland Meisel, et al.. (2024). Haematopoietic stem cell transplantation after reduced intensity conditioning in children and adolescents with chronic myeloid leukaemia: A prospective multicentre trial of the I‐BFM Study Group. British Journal of Haematology. 205(1). 268–279. 3 indexed citations
4.
Fehse, Boris, et al.. (2024). Clinical relevance of feto-maternal microchimerism in (hematopoietic stem cell) transplantation. Seminars in Immunopathology. 47(1). 4–4. 1 indexed citations
5.
Fehse, Boris, et al.. (2022). Influence of Fetomaternal Microchimerism on Maternal NK Cell Reactivity against the Child’s Leukemic Blasts. Biomedicines. 10(3). 603–603. 2 indexed citations
6.
Böhringer, Judith, Samuel Groeschel, Christiane Kehrer, et al.. (2022). Hematopoietic Stem Cell Transplantation with Mesenchymal Stromal Cells in Children with Metachromatic Leukodystrophy. Stem Cells and Development. 31(7-8). 163–175. 8 indexed citations
7.
Döring, Michaela, Friederike Gieseke, Annika Erbacher, et al.. (2021). Long-Term Follow-Up After the Application of Mesenchymal Stromal Cells in Children and Adolescents with Steroid-Refractory Graft-Versus-Host Disease. Stem Cells and Development. 30(5). 234–246. 6 indexed citations
8.
Döring, Michaela, Torsten Kluba, Ilias Tsiflikas, et al.. (2020). Longtime Outcome After Intraosseous Application of Autologous Mesenchymal Stromal Cells in Pediatric Patients and Young Adults with Avascular Necrosis After Steroid or Chemotherapy. Stem Cells and Development. 29(13). 811–822. 8 indexed citations
9.
Rapp, Anna E., Ronny Bindl, Annika Erbacher, et al.. (2018). Autologous Mesenchymal Stroma Cells Are Superior to Allogeneic Ones in Bone Defect Regeneration. International Journal of Molecular Sciences. 19(9). 2526–2526. 16 indexed citations
10.
Müller, Ingo & Wolf Weiss. (2016). Gravity in general relativity, attractive and repulsive contributions. Meccanica. 51(12). 2933–2948.
11.
Gómez‐Barrena, Enrique, Philippe Rosset, Ingo Müller, et al.. (2011). Bone regeneration: stem cell therapies and clinical studies in orthopaedics and traumatology. Journal of Cellular and Molecular Medicine. 15(6). 1266–1286. 101 indexed citations
12.
Müller, Roland, et al.. (2010). Installing a Fast Orbit Feedback at BESSY. HZB Repository (Helmholtz-Zentrum Berlin für Materialien und Energie GmbH (HZB)). 1 indexed citations
13.
Hassenpflug, J., et al.. (2007). Handbuch Sportorthopädie -traumatologie. 2 indexed citations
14.
Kremer, Gilberto M. & Ingo Müller. (1998). Thermal conductivity and dynamic pressure in extended thermodynamics of chemically reacting mixture of gases. French digital mathematics library (Numdam). 69(3). 309–334. 1 indexed citations
15.
Kremer, Gilberto M. & Ingo Müller. (1997). Dynamic pressure in relativistic thermodynamics. French digital mathematics library (Numdam). 67(2). 111–121. 4 indexed citations
16.
Müller, Ingo. (1994). Grundzüge der Thermodynamik : mit historischen Anmerkungen. Springer eBooks. 9 indexed citations
17.
Müller, Ingo. (1989). Furchtbare Juristen : die unbewältigte Vergangenheit unserer Justiz. 9 indexed citations
18.
Müller, Ingo, et al.. (1989). Gegen Barbarei : Essays Robert M.W. Kempner zu Ehren. Athenäum eBooks. 1 indexed citations
19.
Müller, Ingo. (1980). Rechtsstaat und Strafverfahren. Europäische Verlagsanstalt eBooks. 5 indexed citations
20.
Müller, Ingo. (1973). Thermodynamik : die Grundlagen der Materialtheorie. 21 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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