Ralf Häfer

518 total citations
13 papers, 417 citations indexed

About

Ralf Häfer is a scholar working on Oncology, Genetics and Neurology. According to data from OpenAlex, Ralf Häfer has authored 13 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Genetics and 3 papers in Neurology. Recurrent topics in Ralf Häfer's work include Metabolism and Genetic Disorders (2 papers), Neuroblastoma Research and Treatments (2 papers) and Viral-associated cancers and disorders (2 papers). Ralf Häfer is often cited by papers focused on Metabolism and Genetic Disorders (2 papers), Neuroblastoma Research and Treatments (2 papers) and Viral-associated cancers and disorders (2 papers). Ralf Häfer collaborates with scholars based in Germany, Switzerland and France. Ralf Häfer's co-authors include F Zintl, Daniel Steinbach, Rolf Rauh, A. Benakis, Manfred Marschall, Maja Tomičić, Thomas Stamminger, Bernd Kaina, Bernd Gruhn and Franz Oesch and has published in prestigious journals such as Blood, Free Radical Biology and Medicine and Cancer Letters.

In The Last Decade

Ralf Häfer

12 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ralf Häfer Germany 7 165 158 94 57 48 13 417
Myung S. Rhee United States 15 269 1.6× 115 0.7× 152 1.6× 39 0.7× 70 1.5× 32 586
Junmei Hou China 5 302 1.8× 109 0.7× 68 0.7× 37 0.6× 39 0.8× 5 502
Xiao-E Lou China 9 185 1.1× 67 0.4× 66 0.7× 69 1.2× 32 0.7× 11 389
Chris Tse United States 13 386 2.3× 121 0.8× 54 0.6× 39 0.7× 35 0.7× 26 630
Thierry Louat Belgium 14 347 2.1× 75 0.5× 53 0.6× 44 0.8× 55 1.1× 22 617
Glenys M. Otter United States 11 211 1.3× 99 0.6× 46 0.5× 21 0.4× 23 0.5× 24 369
Deanna J. Brackman United States 13 172 1.0× 150 0.9× 76 0.8× 51 0.9× 155 3.2× 18 524
Mukul Minocha United States 13 151 0.9× 256 1.6× 41 0.4× 52 0.9× 45 0.9× 32 612
Suhlan Wu United States 11 356 2.2× 158 1.0× 22 0.2× 43 0.8× 34 0.7× 11 516
Sikic Bi United States 10 276 1.7× 282 1.8× 27 0.3× 32 0.6× 29 0.6× 13 547

Countries citing papers authored by Ralf Häfer

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Häfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralf Häfer

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

All Works

13 of 13 papers shown
1.
Na, Il‐Kang, et al.. (2014). Comparison of different rabbit ATG preparation effects on early lymphocyte subset recovery after allogeneic HSCT and its association with EBV-mediated PTLD. Journal of Cancer Research and Clinical Oncology. 140(11). 1971–1980. 19 indexed citations
2.
Meerbach, Astrid, P Wutzler, Ralf Häfer, F Zintl, & Bernd Gruhn. (2008). Monitoring of Epstein‐Barr virus load after hematopoietic stem cell transplantation for early intervention in post‐transplant lymphoproliferative disease. Journal of Medical Virology. 80(3). 441–454. 61 indexed citations
3.
Efferth, Thomas, A. Benakis, Marta R. Romero, et al.. (2004). Enhancement of cytotoxicity of artemisinins toward cancer cells by ferrous iron. Free Radical Biology and Medicine. 37(7). 998–1009. 230 indexed citations
4.
Thude, Hansjörg, et al.. (2004). Treatment of a Patient with Chronic Immune Thrombocytopenic Purpura with Rituximab and Monitoring by Flow Cytometric Analysis. Acta Haematologica. 111(4). 221–224. 6 indexed citations
7.
Häfer, Ralf, et al.. (2001). Fatty acid composition of lymphocyte membrane phospholipids in children with acute leukemia. Cancer Letters. 173(2). 139–144. 39 indexed citations
8.
Häfer, Ralf, Astrid Voigt, Bernd Gruhn, & F Zintl. (1999). Neuroblastoma cells can express the hematopoietic progenitor cell antigen CD34 as detected at surface protein and mRNA level. Journal of Neuroimmunology. 96(2). 201–206. 18 indexed citations
9.
Kauf, E, et al.. (1997). Selen bei Phenylketonuriepatienten: Effekte einer Natriumselenitsubstitution. Medizinische Klinik - Intensivmedizin und Notfallmedizin. 92(3). 31–34. 2 indexed citations
10.
Kauf, E, et al.. (1997). Selen bei Phenylketonuriepatienten. Medizinische Klinik. 92(S3). 31–34. 3 indexed citations
11.
Voigt, Astrid, et al.. (1993). Monoclonal antibodies against neuroblastoma. Production and preliminary characterization of their specificity. Journal of Neuroimmunology. 43(1-2). 125–130. 4 indexed citations
13.
Häfer, Ralf, et al.. (1976). Adsorption von Stickstoff, Argon und Krypton an Rasothermglas bei niedriger Bedeckung. Zeitschrift für Chemie. 16(3). 122–123.

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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