Martin Ruthardt

4.8k total citations · 1 hit paper
85 papers, 3.9k citations indexed

About

Martin Ruthardt is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Martin Ruthardt has authored 85 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Hematology, 62 papers in Molecular Biology and 23 papers in Genetics. Recurrent topics in Martin Ruthardt's work include Acute Myeloid Leukemia Research (36 papers), Chronic Myeloid Leukemia Treatments (35 papers) and Retinoids in leukemia and cellular processes (26 papers). Martin Ruthardt is often cited by papers focused on Acute Myeloid Leukemia Research (36 papers), Chronic Myeloid Leukemia Treatments (35 papers) and Retinoids in leukemia and cellular processes (26 papers). Martin Ruthardt collaborates with scholars based in Germany, United States and United Kingdom. Martin Ruthardt's co-authors include Elena Puccetti, Oliver G. Ottmann, Pier Giuseppe Pelicci, Clara Nervi, F Grignani, Dieter Hoelzer, Fausto Grignani, Fabien Guidez, Fabiana Fosca Ferrara and Mirco Fanelli and has published in prestigious journals such as Nature, Nature Genetics and Journal of Neuroscience.

In The Last Decade

Martin Ruthardt

85 papers receiving 3.9k citations

Hit Papers

Fusion proteins of the retinoic acid receptor-α recruit h... 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
Martin Ruthardt Germany 33 3.2k 2.0k 547 469 380 85 3.9k
Mario Cioce Italy 21 2.6k 0.8× 698 0.4× 706 1.3× 315 0.7× 99 0.3× 34 3.3k
Maurizio Gianni’ Italy 33 2.4k 0.8× 756 0.4× 303 0.6× 602 1.3× 63 0.2× 68 2.8k
Véronique Mansat‐De Mas France 25 1.3k 0.4× 1.4k 0.7× 428 0.8× 151 0.3× 546 1.4× 57 2.5k
Jörg Cammenga Sweden 26 1.2k 0.4× 1.1k 0.6× 335 0.6× 153 0.3× 393 1.0× 65 2.4k
Isabelle Plo France 30 2.3k 0.7× 1.4k 0.7× 650 1.2× 156 0.3× 1.4k 3.7× 99 3.4k
Yael Bernstein Israel 20 1.6k 0.5× 443 0.2× 377 0.7× 189 0.4× 114 0.3× 27 2.6k
Ari Elson Israel 32 3.0k 0.9× 335 0.2× 1.2k 2.2× 320 0.7× 196 0.5× 73 3.8k
Richard L. Darley United Kingdom 23 955 0.3× 676 0.3× 275 0.5× 61 0.1× 160 0.4× 52 1.6k
Martin Janz Germany 23 1.3k 0.4× 235 0.1× 786 1.4× 99 0.2× 247 0.7× 47 2.5k
Demetrios Kalaitzidis United States 18 1.4k 0.4× 403 0.2× 432 0.8× 164 0.3× 241 0.6× 27 2.1k

Countries citing papers authored by Martin Ruthardt

Since Specialization
Citations

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

Fields of papers citing papers by Martin Ruthardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Ruthardt

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Ruthardt. A scholar is included among the top collaborators of Martin Ruthardt 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 Martin Ruthardt. Martin Ruthardt 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.
Alvares, Caroline, et al.. (2022). Understanding a high-risk acute myeloid leukemia by analyzing the interactome of its major driver mutation. PLoS Genetics. 18(10). e1010463–e1010463. 5 indexed citations
2.
Mian, Afsar, et al.. (2019). Activation of AKT/mTOR Pathway in Ph+ Acute Lymphoblastic Leukemia (ALL) Leads to Non-Mutational Resistance. Blood. 134(Supplement_1). 2570–2570. 2 indexed citations
3.
Najajreh, Yousef, et al.. (2016). Platinum (IV)-fatty acid conjugates overcome inherently and acquired Cisplatin resistant cancer cell lines: an in-vitro study. BMC Cancer. 16(1). 140–140. 28 indexed citations
4.
Roos, Jessica, Astrid S. Kahnt, Ewgenij Proschak, et al.. (2014). 5-Lipoxygenase Is a Candidate Target for Therapeutic Management of Stem Cell–like Cells in Acute Myeloid Leukemia. Cancer Research. 74(18). 5244–5255. 42 indexed citations
5.
Pfeifer, Roman, et al.. (2013). Differential Effects of Selective Inhibitors Targeting the PI3K/AKT/mTOR Pathway in Acute Lymphoblastic Leukemia. PLoS ONE. 8(11). e80070–e80070. 53 indexed citations
6.
Mian, Afsar, Anahita Rafiei, Isabella Haberbosch, et al.. (2013). PF-114, a Novel Selective Pan BCR/ABL Inhibitor Targets The T315I and Suppress Models Of Advanced Ph+ ALL. Blood. 122(21). 3907–3907. 3 indexed citations
8.
Romański, A, K. Schwarz, Maren Keller, et al.. (2012). Deacetylase inhibitors modulate proliferation and self-renewal properties of leukemic stem and progenitor cells. Cell Cycle. 11(17). 3219–3226. 24 indexed citations
9.
Schwarz, K., Brigitte Rüster, Manuela Kampfmann, et al.. (2012). Novel Role of Ras-GTPase Activating Protein SH3 Domain-Binding ProteinG3BP in Adhesion and Migration of 32D Myeloid Progenitor Cells. Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt). 6(1). 1–7. 1 indexed citations
10.
Steinhilber, Dieter, et al.. (2010). 5-Lipoxygenase: Underappreciated Role of a Pro-Inflammatory Enzyme in Tumorigenesis. Frontiers in Pharmacology. 1. 143–143. 46 indexed citations
12.
Boehrer, Simone, Lionel Adès, Nicolas Tajeddine, et al.. (2009). Suppression of the DNA damage response in acute myeloid leukemia versus myelodysplastic syndrome. Oncogene. 28(22). 2205–2218. 43 indexed citations
14.
Boehrer, Simone, Daniel Nowak, Elena Puccetti, et al.. (2006). Prostate-apoptosis-response-gene-4 increases sensitivity to TRAIL-induced apoptosis. Leukemia Research. 30(5). 597–605. 21 indexed citations
15.
Bug, Gesine, Markus Ritter, Barbara Waßmann, et al.. (2005). Clinical trial of valproic acid and all‐trans retinoic acid in patients with poor‐risk acute myeloid leukemia. Cancer. 104(12). 2717–2725. 154 indexed citations
16.
Puccetti, Elena, Kai Uwe Chow, Marion Bergmann, et al.. (2004). Prostate apoptosis response gene-4 (par-4) abrogates the survival function of p185BCR-ABL in hematopoietic cells. Experimental Hematology. 32(7). 649–656. 7 indexed citations
18.
Boehrer, Simone, Kai Uwe Chow, Martin Ruthardt, et al.. (2002). Expression and Function of Prostate-Apoptosis-Response-Gene-4 in Lymphatic Cells. Leukemia & lymphoma. 43(9). 1737–1741. 6 indexed citations
19.
Puccetti, Elena, Simone Boehrer, Andrea Bianchini, et al.. (2001). Down-stream regions of the POZ-domain influence the interaction of the t(11;17)-associated PLZF/RARα fusion protein with the histone-deacetylase recruiting co-repressor complex. The Hematology Journal. 2(6). 385–392. 6 indexed citations
20.
Sternsdorf, Thomas, Elena Puccetti, Kirsten Jensen, et al.. (1999). PIC-1/SUMO-1-Modified PML-Retinoic Acid Receptor α Mediates Arsenic Trioxide-Induced Apoptosis in Acute Promyelocytic Leukemia. Molecular and Cellular Biology. 19(7). 5170–5178. 86 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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