Jan Izdebski
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Organic Chemistry
- Endocrinology, Diabetes and Metabolism
- Physiology
- Co-authors
- Ewa WitkowskaPeter W. SchillerNga N. ChungKate GrootAndrew V. SchallyJacek WójcikIchiro MuramatsuMiklos Bodanszky
- Topics
- Chemical Synthesis and Analysis (34 papers)Neuropeptides and Animal Physiology (27 papers)Receptor Mechanisms and Signaling (10 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- PolandCanadaUnited States
In The Last Decade
Jan Izdebski
67 papers receiving 575 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 377
- Cellular and Molecular Neuroscience 226
- Organic Chemistry 138
- Endocrinology, Diabetes and Metabolism 67
- Physiology 55
Countries citing papers authored by Jan Izdebski
This map shows the geographic impact of Jan Izdebski'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 Jan Izdebski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Izdebski more than expected).
Fields of papers citing papers by Jan Izdebski
This network shows the impact of papers produced by Jan Izdebski. 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 Jan Izdebski. The network helps show where Jan Izdebski may publish in the future.
Co-authorship network of co-authors of Jan Izdebski
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Izdebski. A scholar is included among the top collaborators of Jan Izdebski 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 Jan Izdebski. Jan Izdebski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 17 | |
| 7 | 4 | |
| 8 | 15 | |
| 9 | 6 | |
| 10 | 6 | |
| 11 | An Empirical Estimation of the Interactions H delta+...Cl-. The Crystal and Molecular Structure of the 1-Methyl-2-tert-butylamino-4-isopropyl-5(4H)-imidazolone hydrochloride | 2 |
| 12 | Proinsulin C-Peptides from Bovine, Ovine and Bisontine Pancreata | 0 |
| 13 | 4 | |
| 14 | 10 | |
| 15 | SYNTHESIS AND OPIOID ACTIVITY PROFILES OF PROENKEPHALIN (100-111) ANALOGS | 4 |
| 16 | nev carbodiimides for peptide synthesis | 2 |
| 17 | formation of n-acylureas during the peptide coupling with the use of unsymmetrical carbodiimides | 1 |
| 18 | a convenient method for the preparation of symmetrical anhydrides of n-9 fluorenylmethoxycarbonylamino acids | 2 |
| 19 | 1 | |
| 20 | SYNTHESIS OF N,N'-CARBONYL-BIS-AMINO ACIDS AND N,N'-CARBONYL-BIS-PEPTIDES | 1 |
About Jan Izdebski
Jan Izdebski is a scholar working on Cellular and Molecular Neuroscience, Microbiology and Molecular Biology, having authored 73 papers that have together received 594 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (34 papers), Neuropeptides and Animal Physiology (27 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (226 citations), Microbiology (51 citations) and Molecular Biology (377 citations). Jan Izdebski has collaborated with scholars based in Poland, Canada and United States. Frequent co-authors include Ewa Witkowska, Peter W. Schiller, Nga N. Chung, Kate Groot, Andrew V. Schally, Jacek Wójcik, Ichiro Muramatsu, Miklos Bodanszky, Judit Horváth and György B. Halmos. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.