Stefan Evers

3.8k total citations · 1 hit paper
48 papers, 2.3k citations indexed

About

Stefan Evers is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Stefan Evers has authored 48 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 19 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Molecular Biology. Recurrent topics in Stefan Evers's work include Peptidase Inhibition and Analysis (11 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Stefan Evers is often cited by papers focused on Peptidase Inhibition and Analysis (11 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and Cancer Immunotherapy and Biomarkers (11 papers). Stefan Evers collaborates with scholars based in Switzerland, Germany and France. Stefan Evers's co-authors include Priti S. Hegde, Vaios Karanikas, Patrice Courvalin, Richard Quintiliani, Hanno Langen, Wolfgang Keck, Christopher P. Gray, Béla Takács, Peter E. Reynolds and Michael Fountoulakis and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Stefan Evers

46 papers receiving 2.3k citations

Hit Papers

The Where, the When, and the How of Immune Monitoring for... 2016 2026 2019 2022 2016 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
Stefan Evers Switzerland 22 973 825 501 362 242 48 2.3k
Dorothea Sesardic United Kingdom 32 963 1.0× 386 0.5× 629 1.3× 372 1.0× 75 0.3× 128 3.6k
Young Ah Goo United States 31 1.9k 2.0× 225 0.3× 315 0.6× 331 0.9× 268 1.1× 76 3.5k
Karina V. Mariño Argentina 24 1.4k 1.5× 216 0.3× 696 1.4× 88 0.2× 183 0.8× 63 2.2k
Andrew I. Webb Australia 38 2.6k 2.7× 559 0.7× 1.6k 3.2× 233 0.6× 87 0.4× 112 4.3k
Matthew M. Champion United States 29 925 1.0× 209 0.3× 251 0.5× 573 1.6× 486 2.0× 83 2.4k
Vianney Ortiz‐Navarrete Mexico 29 899 0.9× 271 0.3× 1.0k 2.0× 424 1.2× 45 0.2× 114 2.4k
Rein Verbeke Belgium 25 2.0k 2.1× 216 0.3× 803 1.6× 708 2.0× 124 0.5× 72 3.3k
Silvia Ghezzi Italy 26 359 0.4× 441 0.5× 727 1.5× 480 1.3× 43 0.2× 94 2.2k
Jiří Stulík Czechia 30 1.8k 1.8× 126 0.2× 323 0.6× 338 0.9× 255 1.1× 122 2.7k
Timo Sareneva Finland 30 1.1k 1.1× 692 0.8× 2.6k 5.2× 304 0.8× 69 0.3× 36 3.8k

Countries citing papers authored by Stefan Evers

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Evers

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Evers. A scholar is included among the top collaborators of Stefan Evers 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 Stefan Evers. Stefan Evers 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.
Ribba, Benjamin, Christophe Boetsch, Tapan K. Nayak, et al.. (2018). Prediction of the Optimal Dosing Regimen Using a Mathematical Model of Tumor Uptake for Immunocytokine-Based Cancer Immunotherapy. Clinical Cancer Research. 24(14). 3325–3333. 56 indexed citations
3.
Brummelen, Emilie M.J. van, Tapan K. Nayak, Marc C. Huisman, et al.. (2016). 89Zr-labeled CEA-targeted IL-2 variant immunocytokine in patients with solid tumors: CEA-mediated tumor accumulation in a dose-dependent manner and role of IL-2 receptor-binding. Annals of Oncology. 27. vi114–vi114. 3 indexed citations
4.
Deppe, Michael, Siawoosh Mohammadi, Simon S. Keller, et al.. (2012). Early microstructural white matter changes in patients with HIV: A diffusion tensor imaging study. BMC Neurology. 12(1). 23–23. 47 indexed citations
5.
Hornyak, Magdolna, K. Stiasny-Kolster, Stefan Evers, & Svenja Happe. (2011). Restless-Legs-Syndrom und nächtliche Beinschmerzen: Differenzialdiagnose und Therapie. Der Schmerz. 25(5). 544–551. 1 indexed citations
6.
Kovac, Stjepana, Michael Deppe, Siawoosh Mohammadi, et al.. (2009). Gelastic seizures: A case of lateral frontal lobe epilepsy and review of the literature. Epilepsy & Behavior. 15(2). 249–253. 29 indexed citations
7.
Happe, Svenja, M. Vennemann, Stefan Evers, & Karin Berger. (2008). Treatment wish of individuals with known and unknown restless legs syndrome in the community. Journal of Neurology. 255(9). 1365–1371. 54 indexed citations
9.
Lu, Zhaohui, Liping Hu, Stefan Evers, Jie Chen, & Yan Shen. (2004). Differential expression profiling of human pancreatic adenocarcinoma and healthy pancreatic tissue. PROTEOMICS. 4(12). 3975–3988. 75 indexed citations
10.
Fountoulakis, M., Jean‐François Juranville, Lei Jiang, et al.. (2004). Depletion of the high-abundance plasma proteins. Amino Acids. 27(3-4). 249–259. 87 indexed citations
11.
Gwizdek, Carole, Batool Ossareh‐Nazari, Amy M. Brownawell, et al.. (2004). Minihelix-containing RNAs Mediate Exportin-5-dependent Nuclear Export of the Double-stranded RNA-binding Protein ILF3. Journal of Biological Chemistry. 279(2). 884–891. 70 indexed citations
13.
Langen, Hanno, Béla Takács, Stefan Evers, et al.. (2000). Two-dimensional map of the proteome ofHaemophilus influenzae. Electrophoresis. 21(2). 411–429. 118 indexed citations
14.
Fountoulakis, M., Jean‐François Juranville, Daniel Röder, et al.. (1998). Reference map of the low molecular mass proteins of Haemophilus influenzae. Electrophoresis. 19(10). 1819–1827. 55 indexed citations
15.
Evers, Stefan, et al.. (1998). Strategies towards a better understanding of antibiotic action: Folate pathway inhibition in Haemophilus influenzae as an example. Electrophoresis. 19(11). 1980–1988. 13 indexed citations
16.
Fountoulakis, Michael, et al.. (1997). Two‐dimensional map of Haemophilus influenzae following protein enrichment by heparin chromatography. Electrophoresis. 18(7). 1193–1202. 64 indexed citations
17.
Arthur, Michel, Peter E. Reynolds, Florence Depardieu, et al.. (1996). Mechanisms of glycopeptide resistance in enterococci. Journal of Infection. 32(1). 11–16. 88 indexed citations
18.
Evers, Stefan, Peter E. Reynolds, & Patrice Courvalin. (1994). Sequence of the vanB and ddl genes encoding d-alanine:d-lactate and d-alanine:d-alanine ligases in vancomycin-resistant Enterococcus faecalis V583. Gene. 140(1). 97–102. 75 indexed citations
20.
Quintiliani, Richard, Stefan Evers, & Patrice Courvalin. (1993). The vanB Gene Confers Various Levels of Self-Transferable Resistance to Vancomycin in Enterococci. The Journal of Infectious Diseases. 167(5). 1220–1223. 133 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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