Victor Schultz

1.7k citations
15 papers · 1.3k · 1 hit paper · h-index 12

Impact in

Papers in

Victor Schultz

14 papers receiving 1.2k citations

Victor Schultz's Hit Papers

A robotic platform for flow synthesis of organic compounds informed by AI planning 2019 · 784 citations
7840+2+4Years since publication250500750

Peers

Victor Schultz
Comparison fields: 5 of 118
  • Computational Theory and Mathematics 231
  • Biomedical Engineering 461
  • Materials Chemistry 467
  • Organic Chemistry 266
  • Molecular Biology 433
Replace Nadine Schneider with:
Nadine Schneider Germany
Yue Yang China
Robert W. Hicklin United States
Artur Góra Poland
Jason M. Stevens United States
Guillaume Godin Switzerland
Neeraj Kumar United States
Shinichiro Fuse Japan
Nicole Jung Germany
Victor Schultz relative to Nadine Schneider Germany Nadine Schneider's profile →
Citations per field
00.5×1.5×2.2×
Nadine Schneider · 1×
Citations per year

Countries citing papers authored by Victor Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Victor Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
A robotic platform for flow synthesis of organic compounds informed by AI planning
Hit paper breakdown →
2019784
2 2015137
3 201985
4 201454
5 201642
6 202031
7 201724
8 201624
9 202121
10 202119
11 201718
12 201616
13 202211
14 20205
15 20250

About Victor Schultz

Victor Schultz is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Cell Biology and Materials Chemistry, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Crystallization and Solubility Studies (2 papers), Radical Photochemical Reactions (2 papers), Analytical Chemistry and Chromatography (2 papers) and Caching and Content Delivery (2 papers). The work is most often cited by research in Computational Theory and Mathematics (231 citations), Biomedical Engineering (461 citations), Materials Chemistry (467 citations), Organic Chemistry (266 citations) and Molecular Biology (433 citations). Victor Schultz has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Klavs F. Jensen, Travis Hart, Luke Rogers, Pieter Plehiers, Justin A. M. Lummiss, Jonathan N. Jaworski, A. John Hart, C. Breen, Hanyu Gao and Timothy F. Jamison. Their work appears in journals such as Organic Process Research & Development, The Journal of Organic Chemistry, Analytical Biochemistry, ChemSusChem and Bioorganic & Medicinal Chemistry Letters.

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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