J.H. Maas

504 total citations
12 papers, 398 citations indexed

About

J.H. Maas is a scholar working on Hematology, Physiology and Infectious Diseases. According to data from OpenAlex, J.H. Maas has authored 12 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 4 papers in Physiology and 2 papers in Infectious Diseases. Recurrent topics in J.H. Maas's work include Blood groups and transfusion (6 papers), Erythrocyte Function and Pathophysiology (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). J.H. Maas is often cited by papers focused on Blood groups and transfusion (6 papers), Erythrocyte Function and Pathophysiology (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). J.H. Maas collaborates with scholars based in Germany, Austria and China. J.H. Maas's co-authors include Tobias J. Legler, Michael Köhler, Yubin Su, Simon Panzer, Martin Köhler, G.L. Daniels, Thomas Wagner, Paul Perco, R. Lynen and R. Osmers and has published in prestigious journals such as SHILAP Revista de lepidopterología, Transfusion and Journal of Clinical Medicine.

In The Last Decade

J.H. Maas

11 papers receiving 384 citations

Peers

Countries citing papers authored by J.H. Maas

Since Specialization

Citations

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

Fields of papers citing papers by J.H. Maas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.H. Maas. 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 J.H. Maas. The network helps show where J.H. Maas may publish in the future.

Co-authorship network of co-authors of J.H. Maas

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

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Low incidence and morbidity of Epstein‐Barr virus reactivation following donor lymphocyte infusions 2023 ·SHILAP Revista de lepidopterología ·(unknown), Justin Hasenkamp, Wolfram Jung, (unknown), J.H. Maas, Gerald Wulf	0
2	Syndecan-4 as a Marker of Endothelial Dysfunction in Patients with Resistant Hypertension 2020 ·Journal of Clinical Medicine ·Mark Lipphardt, Hassan Dihazi, J.H. Maas, (unknown), (unknown), Brian B. Ratliff, Michael Koziolek, Manuel Wallbach	17
3	Prediction of graft-versus-host disease: a biomarker panel based on lymphocytes and cytokines 2017 ·Annals of Hematology ·(unknown), (unknown), J.H. Maas, Holger M. Reichardt, Gerald Wulf, Justin Hasenkamp, J. Riggert, Tobias J. Legler	25
4	Anticoagulation in large-volume leukapheresis: comparison between citrate- versus heparin-based anticoagulation on safety and CD34 + cell collection efficiency 2011 ·Cytotherapy ·Markus Dettke, Christoph Buchta, (unknown), J.H. Maas, (unknown), (unknown)	7
5	Cryopreservation of cellular products in a closed‐bag system with an incorporated dimethyl sulfoxide–resistant sterile filter outside of cleanroom facilities 2007 ·Transfusion ·Andreas Humpe, (unknown), B. Karsten Tischer, Sabine Schubert, Christian Beck, (unknown), J.H. Maas, (unknown), Martin Gramatzki, J. Riggert	3
6	Rhabdomyolysis in allogeneic peripheral blood stem cell donors 2004 ·Vox Sanguinis ·Julie Schanz, Claudia Wolf, María Koehler, J.H. Maas, Melissa A. Meyer, (unknown), (unknown), Gerald Wulf, B. Glaß, Lorenz Truemper, J. Riggert	4
7	Molecular background of Rh D‐positive, D‐negative, D_el and weak D phenotypes in Chinese 2002 ·Vox Sanguinis ·(unknown), J.H. Maas, Yubin Su, Michael Köhler, Tobias J. Legler	127
8	Prediction of fetal Rh D and Rh CcEe phenotype from maternal plasma with real-time polymerase chain reaction 2002 ·Transfusion and Apheresis Science ·Tobias J. Legler, (unknown), J.H. Maas, G. Pindur, (unknown), (unknown), R. Osmers, Michael Köhler	57
9	RHDsequencing: a new tool for decision making on transfusion therapy and provision of Rh prophylaxis 2001 ·Transfusion Medicine ·(unknown), J.H. Maas, Martin Köhler, Thomas Wagner, G.L. Daniels, Paul Perco, Simon Panzer	93
10	Application of RHD and RHCE genotyping for correct blood group determination in chronically transfused patients 1999 ·Transfusion ·Tobias J. Legler, Stefan Eber, M. Lakomek, R. Lynen, J.H. Maas, Arnulf Pekrun, (unknown), W. Schröter, Michael Köhler	48
11	RHD genotyping in weak D phenotypes by multiple polymerase chain reactions 1998 ·Transfusion ·Tobias J. Legler, J.H. Maas, Volker Blaschke, (unknown), Hitoshi Ohto, R. Lynen, (unknown), D. W. M. Schwartz, W. R. Mayr, Michael Köhler, Simon Panzer	16
12	[Rh-D genotyping for exon 2, 5 and 7 of German and Japanese blood donors with sequence specific polymerase chain reaction]. 1997 ·PubMed ·J.H. Maas, (unknown), R. Lynen, Volker Blaschke, (unknown), (unknown)	1

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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