Jonathan Langille

712 citations
9 papers · 257 · h-index 5

Impact in

    • Catalytic C–H Functionalization Methods
    • Synthesis and Biological Evaluation
    • Catalytic Cross-Coupling Reactions
    • Metal complexes synthesis and properties

Papers in

    • Chemical Synthesis and Analysis 4
    • Protein Degradation and Inhibitors 2
    • Receptor Mechanisms and Signaling 2
    • Machine Learning in Bioinformatics 1
    • HIV/AIDS drug development and treatment 2

Jonathan Langille

8 papers receiving 251 citations

Peers

Jonathan Langille
Comparison fields: 5 of 44
  • Organic Chemistry 134
  • Oncology 74
  • Virology 11
  • Inorganic Chemistry 29
  • Hematology 23
Replace Leonie Harmse with:
Leonie Harmse South Africa
Rei Okamoto Japan
Shenyou Nie China
Ana S. Ressurreição Portugal
L Faulkner United Kingdom
Shri Niwas United States
Jean‐Simon Duceppe Canada
Christophe Mellon Canada
Artur Burdzy United States
Michael Harris United States
Jonathan Langille relative to Leonie Harmse South Africa Leonie Harmse's profile →
Citations per field
00.5×2.6×
Leonie Harmse · 1×
Citations per year

Countries citing papers authored by Jonathan Langille

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Langille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2008129
2 201541
3 201440
4 201729
5 201112
6 20112
7 20232
8 19612
9 20240

About Jonathan Langille

Jonathan Langille is a scholar working on Molecular Biology, Infectious Diseases, Virology, Hematology and Organic Chemistry, having authored 9 papers that have together received 257 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (4 papers), HIV Research and Treatment (2 papers), Protein Degradation and Inhibitors (2 papers), HIV/AIDS drug development and treatment (2 papers), Multiple Myeloma Research and Treatments (2 papers), Receptor Mechanisms and Signaling (2 papers), Metabolism and Genetic Disorders (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Organic Chemistry (134 citations), Oncology (74 citations), Virology (11 citations), Inorganic Chemistry (29 citations) and Hematology (23 citations). Jonathan Langille has collaborated with scholars based in United States, Belgium and France. Frequent co-authors include Gloria Lau, Renato T. Skerlj, Simon P. Fricker, Eugene L. Piatnitski Chekler, Jotham W. Coe, James H. McKerrow, Rebecca S.Y. Wong, Patricia S. Doyle, Ian R. Baird and Ling Qin. Their work appears in journals such as Organic Process Research & Development, Journal of the American Chemical Society, ACS Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Journal of Inorganic Biochemistry.

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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