David G. Hulcoop

3.2k citations
20 papers · 857 indexed · 1 hit paper · h-index 12
Topics
Catalytic Cross-Coupling Reactions (7 papers)Catalytic C–H Functionalization Methods (6 papers)Synthetic Organic Chemistry Methods (4 papers)

In The Last Decade

David G. Hulcoop

19 papers receiving 849 citations

Hit Papers

Open Targets Platform: new developments and updates two y...2018202620202023201850100150200250

Peers

David G. Hulcoop
Comparison fields: 5 of 90
  • Organic Chemistry 442
  • Molecular Biology 284
  • Genetics 109
  • Computational Theory and Mathematics 73
  • Immunology 64
Replace Hélène Jûteau with:
Hélène Jûteau Canada
Stefan Jaroch Germany
Wayne Vaccaro United States
Hiroyuki Miyachi Japan
Frederick W. Goldberg United Kingdom
Ingo V. Hartung Germany
Mark Salvati United States
Michael L. Mohler United States
Nathalie Ouimet Canada
Hitesh J. Sanganee United Kingdom
David G. Hulcoop relative to Hélène Jûteau Canada Hélène Jûteau's profile →
Citations per field
00.5×3.1×
Hélène Jûteau · 1×
Citations per year

Countries citing papers authored by David G. Hulcoop

Since Specialization
Citations

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

Fields of papers citing papers by David G. Hulcoop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Hulcoop. 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 David G. Hulcoop. The network helps show where David G. Hulcoop may publish in the future.

Co-authorship network of co-authors of David G. Hulcoop

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Hulcoop. A scholar is included among the top collaborators of David G. Hulcoop 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 David G. Hulcoop. David G. Hulcoop 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
#WorkIndexed citations
1 0
2 1
3 8
4 2
5 95
6 10
7
Open Targets Platform: new developments and updates two years onbreakdown →
284
8 36
9 4
10 10
11 31
12 21
13 1
14 11
15 74
16 33
17 77
18 120
19 21
20 18

About David G. Hulcoop

David G. Hulcoop is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Information Systems and Management, having authored 20 papers that have together received 857 indexed citations. Recurring topics across this work include Catalytic Cross-Coupling Reactions (7 papers), Catalytic C–H Functionalization Methods (6 papers) and Synthetic Organic Chemistry Methods (4 papers). The work is most often cited by research in Organic Chemistry (442 citations), Computational Theory and Mathematics (73 citations) and Molecular Biology (284 citations). David G. Hulcoop has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Mark Lautens, Ian Dunham, Jonathan W. Burton, Michael Langer, Praew Thansandote, Ellen M. McDonagh, Gautier Koscielny, Gareth Peat, Jeffrey C. Barrett and Chuang Kee Ong. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Reviews Drug Discovery.

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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