Hans Helmut Niller

3.2k total citations
71 papers, 2.0k citations indexed

About

Hans Helmut Niller is a scholar working on Oncology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Hans Helmut Niller has authored 71 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Oncology, 24 papers in Epidemiology and 23 papers in Infectious Diseases. Recurrent topics in Hans Helmut Niller's work include Viral-associated cancers and disorders (34 papers), Cytomegalovirus and herpesvirus research (10 papers) and Lymphoma Diagnosis and Treatment (10 papers). Hans Helmut Niller is often cited by papers focused on Viral-associated cancers and disorders (34 papers), Cytomegalovirus and herpesvirus research (10 papers) and Lymphoma Diagnosis and Treatment (10 papers). Hans Helmut Niller collaborates with scholars based in Germany, Hungary and Sweden. Hans Helmut Niller's co-authors include János Minárovits, Hans Wolf, Ferenc Bánáti, Dániel Salamon, Anita Koroknai, Reinhard Andreesen, Stefan W. Krause, Michael Rehli, Lucia Schwarzfischer and Mária Takács and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hans Helmut Niller

69 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Helmut Niller Germany 26 935 670 595 350 329 71 2.0k
Emmanuel Drouet France 24 446 0.5× 552 0.8× 581 1.0× 469 1.3× 241 0.7× 77 1.8k
Oludare A. Odumade United States 13 572 0.6× 469 0.7× 411 0.7× 305 0.9× 999 3.0× 26 2.0k
Akihiko Maeda Japan 29 647 0.7× 470 0.7× 536 0.9× 1.2k 3.4× 599 1.8× 103 2.7k
Ida Orengo United States 22 838 0.9× 275 0.4× 718 1.2× 157 0.4× 103 0.3× 109 2.2k
Guifang Cai United States 14 876 0.9× 1.6k 2.4× 596 1.0× 402 1.1× 1.2k 3.7× 16 3.5k
José Menézes Canada 25 668 0.7× 265 0.4× 590 1.0× 323 0.9× 1.1k 3.3× 76 2.0k
Hiroshi Wakiguchi Japan 26 1.0k 1.1× 373 0.6× 389 0.7× 499 1.4× 916 2.8× 113 2.7k
Hiroshi Uezato Japan 28 309 0.3× 430 0.6× 826 1.4× 198 0.6× 153 0.5× 103 2.2k
Takeshi Nagai Japan 20 292 0.3× 482 0.7× 260 0.4× 315 0.9× 841 2.6× 44 2.3k
Massimo Castagnaro Italy 28 314 0.3× 487 0.7× 291 0.5× 243 0.7× 313 1.0× 122 2.4k

Countries citing papers authored by Hans Helmut Niller

Since Specialization
Citations

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

Fields of papers citing papers by Hans Helmut Niller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans Helmut Niller. 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 Hans Helmut Niller. The network helps show where Hans Helmut Niller may publish in the future.

Co-authorship network of co-authors of Hans Helmut Niller

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Helmut Niller. A scholar is included among the top collaborators of Hans Helmut Niller 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 Hans Helmut Niller. Hans Helmut Niller 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.
Lampl, Benedikt, et al.. (2023). Borna Disease Virus 1 (BoDV-1): Aktueller Stand und Perspektiven. 18(2). 169–177. 1 indexed citations
2.
Knoll, Gertrud, Dennis Tappe, Robert Offner, et al.. (2023). IFN-γ-Based ELISpot as a New Tool to Detect Human Infections with Borna Disease Virus 1 (BoDV-1): A Pilot Study. Viruses. 15(1). 194–194. 6 indexed citations
3.
Neumann, Bernhard, Silke Wunderlich, Christina Bauer, et al.. (2023). Cerebrospinal fluid in Borna disease virus 1 (BoDV-1) encephalitis. Journal of the Neurological Sciences. 446. 120568–120568. 6 indexed citations
4.
Vogel, Matthias, Annelie Plentz, Josef Köstler, et al.. (2022). Omicron’s binding to sotrovimab, casirivimab, imdevimab, CR3022, and sera from previously infected or vaccinated individuals. iScience. 25(4). 104076–104076. 25 indexed citations
5.
Minárovits, János, et al.. (2015). Epigenetic Dysregulation in Virus-Associated Neoplasms. Advances in experimental medicine and biology. 879. 71–90. 24 indexed citations
6.
Minárovits, János & Hans Helmut Niller. (2015). Patho-Epigenetics of Infectious Disease. Advances in experimental medicine and biology. 7 indexed citations
7.
Minárovits, János, Ferenc Bánáti, Kálmán Szenthe, & Hans Helmut Niller. (2015). Epigenetic Regulation. Advances in experimental medicine and biology. 879. 1–25. 27 indexed citations
8.
Minárovits, János & Hans Helmut Niller. (2013). Patho-Epigenetics. 1(1). 37–45. 4 indexed citations
9.
Szenthe, Kálmán, Anita Koroknai, Ferenc Bánáti, et al.. (2013). The 5′ regulatory sequences of active miR-146a promoters are hypomethylated and associated with euchromatic histone modification marks in B lymphoid cells. Biochemical and Biophysical Research Communications. 433(4). 489–495. 15 indexed citations
10.
11.
Takács, Mária, Ferenc Bánáti, Anita Koroknai, et al.. (2009). The Importance Of Epigenetic Alterations In The Development Of Epstein-Barr Virus-Related Lymphomas. Mediterranean Journal of Hematology and Infectious Diseases. 1(2). e2009012–e2009012. 22 indexed citations
12.
Takács, Mária, Ferenc Bánáti, Anita Koroknai, et al.. (2009). Epigenetic regulation of latent Epstein–Barr virus promoters. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1799(3-4). 228–235. 64 indexed citations
13.
14.
Niller, Hans Helmut, Dániel Salamon, Ferenc Bánáti, et al.. (2004). The LCR of EBV makes Burkitt's lymphoma endemic. Trends in Microbiology. 12(11). 495–499. 26 indexed citations
15.
Niller, Hans Helmut, et al.. (2001). Protein-DNA Interaction and CpG Methylation at rep*/vIL-10p of Latent Epstein-Barr Virus Genomes in Lymphoid Cell Lines. Biological Chemistry. 382(10). 1411–1419. 11 indexed citations
16.
Hoves, Sabine, Hans Helmut Niller, Stefan W. Krause, et al.. (2001). Decreased T Cell Stimulatory Capacity of Monocyte‐Derived Human Macrophages following Herpes simplex Virus Type 1 Infection. Scandinavian Journal of Immunology. 54(1-2). 93–99. 10 indexed citations
17.
Vogel, Michael, et al.. (1998). Regulation of the Epstein-Barr viral immediate early BRLF1 promoter through a distal NF1 site. Archives of Virology. 143(10). 1967–1983. 12 indexed citations
18.
Niller, Hans Helmut, et al.. (1995). Nucleoprotein Complexes and DNA 5′-Ends at oriP of Epstein-Barr Virus. Journal of Biological Chemistry. 270(21). 12864–12868. 49 indexed citations
19.
Niller, Hans Helmut, et al.. (1992). Characterization of the 5'-flanking region of the rat thyrotropin receptor gene.. Molecular Endocrinology. 6(5). 793–804. 75 indexed citations
20.
Niller, Hans Helmut & Lothar Hennighausen. (1991). Formation of several specific nucleoprotein complexes on the human cytomegalovirus immediate early enhancer. Nucleic Acids Research. 19(13). 3715–3721. 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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