Florian Emmerich

5.9k total citations · 1 hit paper
59 papers, 2.7k citations indexed

About

Florian Emmerich is a scholar working on Immunology, Hepatology and Cancer Research. According to data from OpenAlex, Florian Emmerich has authored 59 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 8 papers in Hepatology and 7 papers in Cancer Research. Recurrent topics in Florian Emmerich's work include Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (30 papers) and Immunotherapy and Immune Responses (21 papers). Florian Emmerich is often cited by papers focused on Immune Cell Function and Interaction (32 papers), T-cell and B-cell Immunology (30 papers) and Immunotherapy and Immune Responses (21 papers). Florian Emmerich collaborates with scholars based in Germany, United Kingdom and United States. Florian Emmerich's co-authors include Claus Scheidereit, Daniel Krappmann, Bernd Dörken, Kurt Bommert, Hans‐Dieter Royer, Markus Y. Mapara, W Arnold, Edgar Grinstein, Andreas Greiner and Ralf C. Bargou and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Blood.

In The Last Decade

Florian Emmerich

50 papers receiving 2.6k citations

Hit Papers

Constitutive nuclear factor-kappaB-RelA activation is req... 1997 2026 2006 2016 1997 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Florian Emmerich Germany 23 1.1k 796 771 711 710 59 2.7k
Christopher Siegel United States 21 605 0.5× 751 0.9× 530 0.7× 209 0.3× 535 0.8× 51 2.4k
Peter Neumeister Austria 32 627 0.6× 1.1k 1.4× 287 0.4× 1.1k 1.6× 1.0k 1.4× 104 3.6k
Sang Kyun Sohn South Korea 28 719 0.6× 723 0.9× 199 0.3× 391 0.5× 600 0.8× 191 2.7k
M Boiocchi Italy 31 391 0.3× 1.8k 2.2× 262 0.3× 1.2k 1.7× 660 0.9× 94 3.3k
Mindaugas Andrulis Germany 25 618 0.5× 721 0.9× 237 0.3× 272 0.4× 1.1k 1.6× 58 2.5k
Ran Reshef United States 27 635 0.6× 995 1.3× 54 0.1× 361 0.5× 350 0.5× 140 2.3k
Marshall T. Schreeder United States 27 321 0.3× 788 1.0× 91 0.1× 684 1.0× 482 0.7× 103 2.1k
Anna Gayà Spain 21 1.1k 0.9× 235 0.3× 324 0.4× 210 0.3× 495 0.7× 51 2.1k
Celalettin Üstün United States 29 613 0.5× 664 0.8× 113 0.1× 170 0.2× 866 1.2× 147 3.0k
Depei Wu China 28 671 0.6× 958 1.2× 226 0.3× 163 0.2× 948 1.3× 219 3.0k

Countries citing papers authored by Florian Emmerich

Since Specialization
Citations

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

Fields of papers citing papers by Florian Emmerich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florian Emmerich

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Emmerich. A scholar is included among the top collaborators of Florian Emmerich 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 Florian Emmerich. Florian Emmerich 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.
Verboom, Murielle, et al.. (2025). The New HLADRB1 *11:343 Allele Encoding for A Distinctive Peptide‐Binding Domain. HLA. 105(4). e70175–e70175.
2.
Emmerich, Florian, Siegbert Rieg, Susanne Usadel, et al.. (2025). Limited vaccine-induced CD8+ T cell immunity in HIV-infected immunological nonresponders. JCI Insight. 10(21).
3.
Verboom, Murielle, et al.. (2025). HLA‐C*15:02:01:69Q, A New Allele With A Different Splice Site. HLA. 105(3). e70126–e70126. 1 indexed citations
4.
Verboom, Murielle, et al.. (2025). The Novel HLA ‐B*38:123 Allele With A Unique M‐Leader Sequence. HLA. 105(4). e70166–e70166.
5.
Verboom, Murielle, et al.. (2025). HLA‐C*14:171 , a New Allele With a Rare Extracellular α3 Domain. HLA. 106(6). e70505–e70505.
6.
Heim, Kathrin, Sagar Sagar, Özlem Soğukpınar, et al.. (2024). Attenuated effector T cells are linked to control of chronic HBV infection. Nature Immunology. 25(9). 1650–1662. 24 indexed citations
7.
Rakhmanov, Mirzokhid, et al.. (2023). A novel HLA‐DPB1 allele, HLA‐DPB1*1447:01, identified by next‐generation sequencing. HLA. 102(1). 122–123. 1 indexed citations
8.
Rakhmanov, Mirzokhid, et al.. (2023). Next generation sequencing reveals a novel HLA‐C allele, HLA‐C*16:201. HLA. 101(6). 694–696. 1 indexed citations
9.
Ankerhold, Jakob, Sebastian Giese, Philipp Kolb, et al.. (2022). Circulating multimeric immune complexes contribute to immunopathology in COVID-19. Nature Communications. 13(1). 5654–5654. 23 indexed citations
10.
Kemming, Janine, Marcus Panning, Daniela Huzly, et al.. (2022). Mechanisms of CD8+ T-cell failure in chronic hepatitis E virus infection. Journal of Hepatology. 77(4). 978–990. 17 indexed citations
11.
Heim, Kathrin, Benedikt Binder, Sagar Sagar, et al.. (2020). TOX defines the degree of CD8+ T cell dysfunction in distinct phases of chronic HBV infection. Gut. 70(8). 1550–1560. 55 indexed citations
12.
Wild, Katharina, M Smits, Katharina Zoldan, et al.. (2019). OX40 stimulation and PD-L1 blockade synergistically augment HBV-specific CD4 T cells in patients with HBeAg-negative infection. Journal of Hepatology. 70(6). 1103–1113. 61 indexed citations
13.
Smits, M, Katharina Zoldan, Naveed Ishaque, et al.. (2019). Follicular T helper cells shape the HCV-specific CD4+ T cell repertoire after virus elimination. Journal of Clinical Investigation. 130(2). 998–1009. 42 indexed citations
14.
Waterhouse, Miguel, Dietmar Pfeifer, Milena Pantić, et al.. (2011). Genome-wide Profiling in AML Patients Relapsing after Allogeneic Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 17(10). 1450–1459.e1. 34 indexed citations
15.
Wilpert, Jochen, K.-G. Fischer, P. Pisarski, et al.. (2010). Long-term outcome of ABO-incompatible living donor kidney transplantation based on antigen-specific desensitization. An observational comparative analysis. Nephrology Dialysis Transplantation. 25(11). 3778–3786. 94 indexed citations
16.
Emmerich, Florian, Michael Daskalakis, & C. Niemeyer. (2010). A novel HLA-C allele, HLA-Cw*06:20. Tissue Antigens. 76(5). 425–425.
17.
Emmerich, Florian, Michael Daskalakis, & Charlotte M. Niemeyer. (2010). A novel HLA-B allele, B*14:10, identified by haplotype-specific sequencing. Tissue Antigens. 76(6). 497–498. 1 indexed citations
18.
Emmerich, Florian, et al.. (2007). Identification of a novel HLA‐DQB1 allele, HLA‐DQB1*0632. Tissue Antigens. 71(1). 94–95. 4 indexed citations
19.
Emmerich, Florian, et al.. (2006). High‐level serum B‐cell activating factor and promoter polymorphisms in patients with idiopathic thrombocytopenic purpura. British Journal of Haematology. 136(2). 309–314. 93 indexed citations
20.
Emmerich, Florian, Sebastian Theurich, Michael Hummel, et al.. (2003). Inactivating I kappa B epsilon mutations in Hodgkin/Reed–Sternberg cells. The Journal of Pathology. 201(3). 413–420. 105 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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