Ute Gravemann

1.1k total citations
39 papers, 805 citations indexed

About

Ute Gravemann is a scholar working on Infectious Diseases, Biochemistry and Management of Technology and Innovation. According to data from OpenAlex, Ute Gravemann has authored 39 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 16 papers in Biochemistry and 9 papers in Management of Technology and Innovation. Recurrent topics in Ute Gravemann's work include Blood transfusion and management (16 papers), Blood donation and transfusion practices (9 papers) and Mosquito-borne diseases and control (8 papers). Ute Gravemann is often cited by papers focused on Blood transfusion and management (16 papers), Blood donation and transfusion practices (9 papers) and Mosquito-borne diseases and control (8 papers). Ute Gravemann collaborates with scholars based in Germany, Australia and United States. Ute Gravemann's co-authors include Thomas Müller, Axel Seltsam, H. Mohr, Wiebke Handke, Frank Tolksdorf, Stefan Reichenberg, Markus Eickmann, Heinz Nau, Andreas Greinacher and Thomas Thiele and has published in prestigious journals such as Biochemical Pharmacology, Journal of General Virology and Toxicology and Applied Pharmacology.

In The Last Decade

Ute Gravemann

35 papers receiving 784 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ute Gravemann Germany 15 235 232 173 173 141 39 805
Shawn D. Keil United States 20 248 1.1× 458 2.0× 166 1.0× 352 2.0× 318 2.3× 24 1.3k
Susanne Marschner United States 22 140 0.6× 607 2.6× 127 0.7× 345 2.0× 446 3.2× 55 1.3k
L. Lin United States 15 69 0.3× 426 1.8× 66 0.4× 267 1.5× 321 2.3× 23 738
Shauna N. Hay United States 15 58 0.2× 462 2.0× 33 0.2× 260 1.5× 327 2.3× 30 883
Salwa Hindawi Saudi Arabia 15 170 0.7× 35 0.2× 33 0.2× 61 0.4× 114 0.8× 56 499
Hyung Hoi Kim South Korea 18 171 0.7× 45 0.2× 72 0.4× 13 0.1× 191 1.4× 133 1.3k
William Pollack United States 18 116 0.5× 107 0.5× 51 0.3× 21 0.1× 685 4.9× 55 1.3k
Judith G. Pool United States 19 80 0.3× 108 0.5× 140 0.8× 71 0.4× 1.1k 7.7× 33 1.7k
Klaus Junge United States 11 39 0.2× 104 0.4× 54 0.3× 51 0.3× 72 0.5× 18 1.1k
Hélio Moraes‐Souza Brazil 15 49 0.2× 63 0.3× 22 0.1× 70 0.4× 219 1.6× 73 714

Countries citing papers authored by Ute Gravemann

Since Specialization
Citations

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

Fields of papers citing papers by Ute Gravemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Gravemann

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Gravemann. A scholar is included among the top collaborators of Ute Gravemann 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 Ute Gravemann. Ute Gravemann 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.
Heinen, Natalie, Kathrin Sutter, Daniel Tödt, et al.. (2024). Divergent autoantibody and cytokine levels in COVID‐19 sepsis patients influence survival. Journal of Medical Virology. 96(10). e29935–e29935.
2.
Gravemann, Ute, Wiebke Handke, Torsten J. Schulze, & Axel Seltsam. (2024). Growth and Distribution of Bacteria in Contaminated Whole Blood and Derived Blood Components. Transfusion Medicine and Hemotherapy. 51(2). 75–82. 2 indexed citations
3.
4.
Schulze, Torsten J., Ute Gravemann, & Axel Seltsam. (2022). THERAFLEX ultraviolet C (UVC)-based pathogen reduction technology for bacterial inactivation in blood components: advantages and limitations. Annals of Blood. 7. 28–28. 2 indexed citations
5.
6.
Praditya, Dimas, Martina Friesland, Ute Gravemann, et al.. (2020). Hepatitis E virus is effectively inactivated in platelet concentrates by ultraviolet C light. Vox Sanguinis. 115(7). 555–561. 6 indexed citations
7.
Gravemann, Ute, Wiebke Handke, Thomas Müller, & Axel Seltsam. (2018). Bacterial inactivation of platelet concentrates with the THERAFLEX UV‐Platelets pathogen inactivation system. Transfusion. 59(4). 1324–1332. 20 indexed citations
8.
Gravemann, Ute, et al.. (2018). Ultraviolet C light efficiently inactivates nonenveloped hepatitis A virus and feline calicivirus in platelet concentrates. Transfusion. 58(11). 2669–2674. 11 indexed citations
9.
10.
Faddy, Helen M., Natalie A. Prow, Daniel Watterson, et al.. (2016). Inactivation of dengue, chikungunya, and Ross River viruses in platelet concentrates after treatment with ultraviolet C light. Transfusion. 56(6pt2). 1548–1555. 35 indexed citations
11.
Reichenberg, Stefan, Ute Gravemann, Chryslain Sumian, & Axel Seltsam. (2015). Challenge study of the pathogen reduction capacity of the THERAFLEX MB‐Plasma technology. Vox Sanguinis. 109(2). 129–137. 6 indexed citations
12.
Steinmann, Eike, Ute Gravemann, Martina Friesland, et al.. (2012). Two pathogen reduction technologies—methylene blue plus light and shortwave ultraviolet light—effectively inactivate hepatitis C virus in blood products. Transfusion. 53(5). 1010–1018. 45 indexed citations
13.
Bak, Jimmy, et al.. (2011). Potential In Vivo UVC Disinfection of Catheter Lumens: Estimation of the Doses Received by the Blood Flow Outside the Catheter Tip Hole. Photochemistry and Photobiology. 87(2). 350–356. 7 indexed citations
14.
Mohr, H., Ute Gravemann, & Thomas Müller. (2009). Inactivation of pathogens in single units of therapeutic fresh plasma by irradiation with ultraviolet light. Transfusion. 49(10). 2144–2151. 17 indexed citations
15.
Mohr, H., Leif Steil, Ute Gravemann, et al.. (2009). BLOOD COMPONENTS: A novel approach to pathogen reduction in platelet concentrates using short‐wave ultraviolet light. Transfusion. 49(12). 2612–2624. 127 indexed citations
16.
Mohr, H., et al.. (2009). Sterilization of platelet concentrates at production scale by irradiation with short‐wave ultraviolet light. Transfusion. 49(9). 1956–1963. 51 indexed citations
17.
Gravemann, Ute, et al.. (2008). Hydroxamic acid and fluorinated derivatives of valproic acid: Anticonvulsant activity, neurotoxicity and teratogenicity. Neurotoxicology and Teratology. 30(5). 390–394. 24 indexed citations
18.
Mohr, H., et al.. (2006). Elimination and multiplication of bacteria during preparation and storage of buffy coat–derived platelet concentrates. Transfusion. 46(6). 949–955. 40 indexed citations
19.
Mohr, H., et al.. (2004). West Nile virus in plasma is highly sensitive to methylene blue–light treatment. Transfusion. 44(6). 886–890. 43 indexed citations
20.
Michaelis, Martin, Alexander Reinisch, Daniel Eikel, et al.. (2004). Increased human cytomegalovirus replication in fibroblasts after treatment with therapeutical plasma concentrations of valproic acid. Biochemical Pharmacology. 68(3). 531–538. 27 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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