Victor Schultz

1.6k citations
14 papers · 1.2k · 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 · 730 citations
7300+2+4Years since publication200400600

Peers

Victor Schultz
Comparison fields: 5 of 115
  • Computational Theory and Mathematics 227
  • Biomedical Engineering 445
  • Materials Chemistry 448
  • Organic Chemistry 255
  • Molecular Biology 422
Replace Nadine Schneider with:
Nadine Schneider Germany
Jason M. Stevens United States
Robert W. Hicklin United States
Micholas Dean Smith United States
Dragan A. Cirovic United Kingdom
Nicole Jung Germany
Shinichiro Fuse Japan
Hiroko Satoh Japan
Yeonjoon Kim South Korea
Jacob M. Janey United States
Victor Schultz relative to Nadine Schneider Germany Nadine Schneider's profile →
Citations per field
00.5×1.5×2.3×
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

14 of 14 papers shown
#Work
1
A robotic platform for flow synthesis of organic compounds informed by AI planning
Hit paper breakdown →
2019730
2 2015129
3 201981
4 201449
5 201640
6 202031
7 201724
8 201623
9 202121
10 202118
11 201616
12 201716
13 20229
14 20205

About Victor Schultz

Victor Schultz is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Cell Biology and Materials Chemistry, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (7 papers), Proteoglycans and glycosaminoglycans research (4 papers), Carbohydrate Chemistry and Synthesis (3 papers), Glycosylation and Glycoproteins Research (3 papers), Caching and Content Delivery (2 papers), Analytical Chemistry and Chromatography (2 papers), Radical Photochemical Reactions (2 papers) and Data Stream Mining Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (227 citations), Biomedical Engineering (445 citations), Materials Chemistry (448 citations), Organic Chemistry (255 citations) and Molecular Biology (422 citations). Victor Schultz has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include Klavs F. Jensen, Travis Hart, Luke Rogers, Connor W. Coley, Hanyu Gao, A. John Hart, Robert W. Hicklin, William H. Green, Timothy F. Jamison and C. Breen. Their work appears in journals such as Organic Process Research & Development, The Journal of Organic Chemistry, Scientific Reports, Organic Letters and Science.

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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