Jacques Gosteli

470 citations
15 papers · 341 · h-index 9

Impact in

Papers in

    • Chemical Synthesis and Analysis 10
    • Machine Learning in Bioinformatics 3
    • RNA and protein synthesis mechanisms 2
    • Chemical synthesis and alkaloids 2
    • Carbohydrate Chemistry and Synthesis 2
    • Synthesis of heterocyclic compounds 2

Jacques Gosteli

14 papers receiving 290 citations

Peers

Jacques Gosteli
Comparison fields: 5 of 47
  • Organic Chemistry 217
  • Clinical Biochemistry 27
  • Molecular Biology 264
  • Biochemistry 14
  • Spectroscopy 31
Replace Walter Siedel with:
Walter Siedel Czechia
Annette M. Kasper United States
Yon-Yih Chen United States
R. DANION‐BOUGOT France
Daniel Danion France
Yazhong Pei China
Pyare L. Khanna United States
H. W. R. WILLIAMS Canada
Marcel Ménard United States
Kishore Thalluri India
Jacques Gosteli relative to Walter Siedel Czechia Walter Siedel's profile →
Citations per field
00.5×
Walter Siedel · 1×
Citations per year

Countries citing papers authored by Jacques Gosteli

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Gosteli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Jacques Gosteli, 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 Jacques Gosteli Line = papers co-authored together Jacques Gosteli links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1988132
2 198856
3 198740
4 199937
5 199913
6 198913
7 198911
8 19769
9 19779
10
4-Methyltrityl (Mtt): a new protecting group for the side chain protection of Asn and Gln in solid-phase peptide synthesis.
19928
11 20005
12 19954
13 20003
14 19771
15 19990

About Jacques Gosteli

Jacques Gosteli is a scholar working on Molecular Biology, Organic Chemistry, Radiology, Nuclear Medicine and Imaging, Pharmaceutical Science and Oncology, having authored 15 papers that have together received 341 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (10 papers), Machine Learning in Bioinformatics (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chemical synthesis and alkaloids (2 papers), RNA and protein synthesis mechanisms (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Synthesis of heterocyclic compounds (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Organic Chemistry (217 citations), Clinical Biochemistry (27 citations), Molecular Biology (264 citations), Biochemistry (14 citations) and Spectroscopy (31 citations). Jacques Gosteli has collaborated with scholars based in Switzerland and United States. Frequent co-authors include M. Mergler, Fritz Dick, Gareth Griffiths, René Imwinkelried, Hans Rudolf Pfaendler and R. B. Woodward. Their work appears in journals such as Tetrahedron Letters, Helvetica Chimica Acta, CHIMIA International Journal for Chemistry, The Journal of Organic Chemistry and Heterocycles.

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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