Leo Scheller

867 citations
21 papers · 590 · 1 hit paper · h-index 13

Impact in

    • CRISPR and Genetic Engineering
    • Viral Infectious Diseases and Gene Expression in Insects
    • Gene Regulatory Network Analysis
    • Advanced biosensing and bioanalysis techniques
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms
    • CAR-T cell therapy research

Papers in

Leo Scheller

20 papers receiving 578 citations

Leo Scheller's Hit Papers

Targeting protein–ligand neosurfaces with a generalizable deep learning tool 2025 · 28 citations
280Years since publication510152025

Peers

Leo Scheller
Comparison fields: 5 of 74
  • Molecular Biology 432
  • Oncology 129
  • Biotechnology 42
  • Clinical Biochemistry 28
  • Radiology, Nuclear Medicine and Imaging 64
Replace Bhanu Chandra Mulukutla with:
Bhanu Chandra Mulukutla United States
Linghao Kong China
Patrizio Di Micco Italy
Elizabeth K. Culyba United States
Jessica L. Goodman United States
Li-Peng Yap United States
Sandra Chuppa United States
Yadwinder S. Deol United States
Meritxell Costa Spain
Selvambigai Manivannan United Kingdom
Leo Scheller relative to Bhanu Chandra Mulukutla United States Bhanu Chandra Mulukutla's profile →
Citations per field
00.5×3.3×
Bhanu Chandra Mulukutla · 1×
Citations per year

Countries citing papers authored by Leo Scheller

Since Specialization
Citations

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

Fields of papers citing papers by Leo Scheller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Leo Scheller, 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 Leo Scheller Line = papers co-authored together Leo Scheller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018116
2 202165
3 201863
4 198142
5 201940
6 201738
7 201938
8 202037
9
Targeting protein–ligand neosurfaces with a generalizable deep learning tool
Hit paper breakdown →
202528
10 202027
11 202123
12 202215
13 202012
14 202312
15 202410
16 20238
17 20208
18 20235
19
Quantitative investigation of nonenzymatic glucosylation of erythrocyte membrane from normal and diabetic persons.
19812
20 20211

About Leo Scheller

Leo Scheller is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Biomedical Engineering and Surgery, having authored 21 papers that have together received 590 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (6 papers), CRISPR and Genetic Engineering (5 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Pancreatic function and diabetes (3 papers), Click Chemistry and Applications (2 papers), Protein Degradation and Inhibitors (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (432 citations), Oncology (129 citations), Biotechnology (42 citations), Clinical Biochemistry (28 citations) and Radiology, Nuclear Medicine and Imaging (64 citations). Leo Scheller has collaborated with scholars based in Switzerland, Germany and Austria. Frequent co-authors include Martin Fussenegger, Daniel Bojar, Tobias Strittmatter, David Fuchs, E. Schleicher, O. Wieland, Bruno E. Correia, Mingqi Xie, Ghislaine Charpin‐El Hamri and Ryosuke Kojima. Their work appears in journals such as Nature Chemical Biology, Nature Communications, ACS Chemical Biology, Current Opinion in Biotechnology and Biochemical and Biophysical Research Communications.

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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