Holger Ruchatz

735 total citations
8 papers, 592 citations indexed

About

Holger Ruchatz is a scholar working on Immunology, Genetics and Hematology. According to data from OpenAlex, Holger Ruchatz has authored 8 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Genetics and 3 papers in Hematology. Recurrent topics in Holger Ruchatz's work include Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Holger Ruchatz is often cited by papers focused on Chronic Lymphocytic Leukemia Research (3 papers), Immune Cell Function and Interaction (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Holger Ruchatz collaborates with scholars based in United Kingdom, Italy and Japan. Holger Ruchatz's co-authors include Xiaoqing Wei, Bernard P. Leung, Iain B. McInnes, Foo Y. Liew, F Y Liew, Carlo Gambacorti‐Passerini, Eleanor M. Bolton, J. A. Bradley, Xin Smith and Edoardo Marchesi and has published in prestigious journals such as Blood, The Journal of Immunology and Leukemia.

In The Last Decade

Holger Ruchatz

8 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Holger Ruchatz United Kingdom 7 367 130 121 111 104 8 592
Monika Jasek Poland 17 464 1.3× 101 0.8× 54 0.4× 108 1.0× 106 1.0× 45 705
G.B. Wee Singapore 14 296 0.8× 183 1.4× 117 1.0× 49 0.4× 84 0.8× 22 648
Ji Ah Park South Korea 11 212 0.6× 58 0.4× 196 1.6× 68 0.6× 117 1.1× 15 516
Anette Peddinghaus Germany 5 443 1.2× 74 0.6× 167 1.4× 62 0.6× 89 0.9× 8 611
Juergen Foell Germany 15 544 1.5× 153 1.2× 57 0.5× 70 0.6× 97 0.9× 28 793
L. Matarán Spain 13 272 0.7× 62 0.5× 252 2.1× 69 0.6× 142 1.4× 17 551
Julie Diboll United Kingdom 10 384 1.0× 95 0.7× 106 0.9× 39 0.4× 144 1.4× 17 591
Salomé Glauzy France 14 354 1.0× 98 0.8× 55 0.5× 115 1.0× 83 0.8× 16 522
Joyce Setsuda United States 10 290 0.8× 297 2.3× 75 0.6× 43 0.4× 177 1.7× 11 658
S Nagashima United States 9 255 0.7× 145 1.1× 66 0.5× 25 0.2× 150 1.4× 14 534

Countries citing papers authored by Holger Ruchatz

Since Specialization
Citations

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

Fields of papers citing papers by Holger Ruchatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holger Ruchatz

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

All Works

8 of 8 papers shown
1.
Galietta, Annamaria, Rosalind H. Gunby, Sara Redaelli, et al.. (2007). NPM/ALK binds and phosphorylates the RNA/DNA-binding protein PSF in anaplastic large-cell lymphoma. Blood. 110(7). 2600–2609. 32 indexed citations
2.
Ruchatz, Holger, Miriam Puttini, Loredana Cleris, et al.. (2003). Effect of imatinib on haematopoietic recovery following idarubicin exposure. Leukemia. 17(2). 298–304. 7 indexed citations
3.
Ruchatz, Holger, et al.. (2003). Constitutive activation of Jak2 contributes to proliferation and resistance to apoptosis in NPM/ALK-transformed cells. Experimental Hematology. 31(4). 309–315. 46 indexed citations
4.
Gambacorti‐Passerini, Carlo, Francesca Rossi, Magda Verga, et al.. (2002). Differences between in Vivo and in Vitro Sensitivity to Imatinib of Bcr/Abl+ Cells Obtained from Leukemic Patients. Blood Cells Molecules and Diseases. 28(3). 361–372. 24 indexed citations
5.
Smith, Xin, et al.. (2000). Selective Blockade of IL-15 by Soluble IL-15 Receptor α-Chain Enhances Cardiac Allograft Survival. The Journal of Immunology. 165(6). 3444–3450. 70 indexed citations
6.
Gambacorti‐Passerini, Carlo, Magda Verga, Fábio Rossi, et al.. (2000). STI571 administered to chronic myeloid leukemia (CML) patients inhibits cell proliferation, induces apoptosis and initially causes partial inhibition of BCR/ABL autophosphorylation. 96(11). 2 indexed citations
7.
Ruchatz, Holger, Bernard P. Leung, Xiaoqing Wei, Iain B. McInnes, & Foo Y. Liew. (1998). Soluble IL-15 Receptor α-Chain Administration Prevents Murine Collagen-Induced Arthritis: A Role for IL-15 in Development of Antigen-Induced Immunopathology. The Journal of Immunology. 160(11). 5654–5660. 183 indexed citations
8.
Ruchatz, Holger, Bernard P. Leung, Xiaoqing Wei, Iain B. McInnes, & F Y Liew. (1998). Soluble IL-15 receptor alpha-chain administration prevents murine collagen-induced arthritis: a role for IL-15 in development of antigen-induced immunopathology.. PubMed. 160(11). 5654–60. 228 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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