Simon Vogel

786 citations
17 papers · 600 indexed · h-index 11

Impact in

Papers in

Simon Vogel

17 papers receiving 598 citations

Peers

Simon Vogel
Comparison fields: 5 of 82
  • Biotechnology 102
  • Computational Theory and Mathematics 179
  • Immunology and Allergy 37
  • Molecular Biology 391
  • Immunology 63
Replace Ben‐Fillippo Krippendorff with:
Ben‐Fillippo Krippendorff Switzerland
Joakim E. Swedberg Australia
Greg M. Arndt Australia
Alun Bermingham United States
Jeffrey A. Loy United States
Luciano Puzer Brazil
Pengfei Fang China
Maria Vilenchik United States
J. Santeri Puranen Finland
R. Overman United Kingdom
Simon Vogel relative to Ben‐Fillippo Krippendorff Switzerland Ben‐Fillippo Krippendorff's profile →
Citations per field
00.5×3.1×
Ben‐Fillippo Krippendorff · 1×
Citations per year

Countries citing papers authored by Simon Vogel

Since Specialization
Citations

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

Fields of papers citing papers by Simon Vogel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Simon Vogel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simon Vogel Line = papers co-authored together Simon Vogel links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 20242
2 202210
3 202010
4 202010
5 201717
6 201630
7 201525
8 201467
9 201410
10 201468
11 20135
12 2013137
13 201257
14 201168
15 201033
16 20095
17
Recombinant CD64-specific single chain immunotoxin exhibits specific cytotoxicity against acute myeloid leukemia cells.
200346

About Simon Vogel

Simon Vogel is a scholar working on Biotechnology, Immunology and Allergy, Computational Theory and Mathematics, Bioengineering and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 600 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Computational Drug Discovery Methods (3 papers), Transgenic Plants and Applications (3 papers), Enzyme-mediated dye degradation (2 papers), Click Chemistry and Applications (2 papers), Bacteriophages and microbial interactions (2 papers), Machine Learning in Materials Science (2 papers) and Microbial Metabolism and Applications (2 papers). The work is most often cited by research in Biotechnology (102 citations), Computational Theory and Mathematics (179 citations), Immunology and Allergy (37 citations), Molecular Biology (391 citations) and Immunology (63 citations). Simon Vogel has collaborated with scholars based in Germany, United States and Serbia. Frequent co-authors include Matthias R. Bauer, Frank M. Boeckler, Stefan Schillberg, Matthias Buntru, Tamer M. Ibrahim, Holger Spiegel, Rainer Fischer, Ricarda Finnern, Trevor J. Rutherford and Tobias Brandt. Their work appears in journals such as Journal of Chemical Information and Modeling, Biotechnology and Bioengineering, Journal of Bone and Mineral Research, Frontiers in Plant Science and Journal of Cheminformatics.

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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