Péter Buchwald

5.5k total citations
151 papers, 3.8k citations indexed

About

Péter Buchwald is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Péter Buchwald has authored 151 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 38 papers in Surgery and 36 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Péter Buchwald's work include Pancreatic function and diabetes (38 papers), Diabetes Management and Research (26 papers) and Computational Drug Discovery Methods (23 papers). Péter Buchwald is often cited by papers focused on Pancreatic function and diabetes (38 papers), Diabetes Management and Research (26 papers) and Computational Drug Discovery Methods (23 papers). Péter Buchwald collaborates with scholars based in United States, Hungary and Sweden. Péter Buchwald's co-authors include Nicholas Bodor, Damir Bojadzic, Óscar Garnica, Nicholas Bodor, Camillo Ricordi, Cherie L. Stabler, Yun Gyu Song, Emilio Margolles‐Clark, Maitreyi Das and Fulvia Verde and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Péter Buchwald

147 papers receiving 3.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Péter Buchwald United States 35 1.3k 780 568 502 492 151 3.8k
Bingfang Yan United States 41 2.0k 1.5× 541 0.7× 514 0.9× 407 0.8× 404 0.8× 109 5.7k
Andreas Reichel Germany 25 738 0.6× 471 0.6× 331 0.6× 221 0.4× 189 0.4× 88 2.6k
Peter W. Swaan United States 44 2.9k 2.2× 437 0.6× 272 0.5× 686 1.4× 295 0.6× 129 6.9k
Yvonne Will United States 37 2.6k 2.0× 307 0.4× 283 0.5× 667 1.3× 327 0.7× 84 5.3k
Peter Kubatka Slovakia 48 3.7k 2.8× 404 0.5× 650 1.1× 264 0.5× 428 0.9× 200 8.3k
Trond Ulven Denmark 46 3.0k 2.3× 1.1k 1.4× 882 1.6× 198 0.4× 161 0.3× 139 5.5k
Keiko Yamamoto Japan 36 1.5k 1.1× 136 0.2× 401 0.7× 238 0.5× 755 1.5× 173 4.2k
Xiaochao Ma United States 38 1.8k 1.4× 468 0.6× 399 0.7× 152 0.3× 365 0.7× 138 4.9k
Antimo Gioiello Italy 33 2.1k 1.6× 1.3k 1.7× 529 0.9× 170 0.3× 308 0.6× 112 5.4k
Antonio Macchiarulo Italy 36 2.7k 2.1× 968 1.2× 614 1.1× 346 0.7× 331 0.7× 173 6.4k

Countries citing papers authored by Péter Buchwald

Since Specialization
Citations

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

Fields of papers citing papers by Péter Buchwald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Péter Buchwald

This figure shows the co-authorship network connecting the top 25 collaborators of Péter Buchwald. A scholar is included among the top collaborators of Péter Buchwald 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 Péter Buchwald. Péter Buchwald 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
1.
Álvarez-Cubela, Silvia, Mayur Doke, Dagmar Klein, et al.. (2025). Pancreatic β-cell regeneration in situ by the ALK3 agonist THR-123. Nature Communications. 16(1). 6121–6121. 2 indexed citations
2.
3.
Papp, Henrietta, et al.. (2022). Methylene Blue Is a Nonspecific Protein–Protein Interaction Inhibitor with Potential for Repurposing as an Antiviral for COVID-19. Pharmaceuticals. 15(5). 621–621. 12 indexed citations
4.
Simaeys, Dimitri Van, Serena Zilio, Alessia Zoso, et al.. (2022). RNA aptamers specific for transmembrane p24 trafficking protein 6 and Clusterin for the targeted delivery of imaging reagents and RNA therapeutics to human β cells. Nature Communications. 13(1). 1815–1815. 16 indexed citations
5.
Toni, Teresa De, Susan A. Safley, Collin J. Weber, et al.. (2022). Parallel Evaluation of Polyethylene Glycol Conformal Coating and Alginate Microencapsulation as Immunoisolation Strategies for Pancreatic Islet Transplantation. Frontiers in Bioengineering and Biotechnology. 10. 886483–886483. 9 indexed citations
6.
Rieger, Angela C., Luiza Bagno, Alessandro G. Salerno, et al.. (2021). Growth hormone-releasing hormone agonists ameliorate chronic kidney disease-induced heart failure with preserved ejection fraction. Proceedings of the National Academy of Sciences. 118(4). 18 indexed citations
7.
Ishahak, Matthew, Deborah Chaimov, Péter Buchwald, et al.. (2021). Organoid microphysiological system preserves pancreatic islet function within 3D matrix. Science Advances. 7(7). 70 indexed citations
8.
Bojadzic, Damir, et al.. (2021). Small-Molecule Inhibitors of the Coronavirus Spike: ACE2 Protein–Protein Interaction as Blockers of Viral Attachment and Entry for SARS-CoV-2. ACS Infectious Diseases. 7(6). 1519–1534. 84 indexed citations
9.
Chen, Chuan, Maitreyi Das, David J. Wiley, et al.. (2021). Cdc42 GTPase-activating proteins (GAPs) regulate generational inheritance of cell polarity and cell shape in fission yeast. Molecular Biology of the Cell. 32(20). ar14–ar14. 6 indexed citations
10.
Garnica, Óscar, Ernesto Nakayasu, Paul Piehowski, et al.. (2020). Longitudinal proteomics analysis in the immediate microenvironment of islet allografts during progression of rejection. Journal of Proteomics. 223. 103826–103826. 7 indexed citations
11.
Abdulreda, Midhat H., R. Damaris Molano, Gaetano Faleo, et al.. (2019). In vivo imaging of type 1 diabetes immunopathology using eye-transplanted islets in NOD mice. Diabetologia. 62(7). 1237–1250. 20 indexed citations
12.
13.
Song, Yun Gyu, et al.. (2017). Small-Molecule Inhibitors of the CD40–CD40L Costimulatory Protein–Protein Interaction. Journal of Medicinal Chemistry. 60(21). 8906–8922. 20 indexed citations
14.
Das, Maitreyi, et al.. (2012). Oscillatory Dynamics of Cdc42 GTPase in the Control of Polarized Growth. Science. 337(6091). 239–243. 120 indexed citations
15.
Das, Maitreyi, et al.. (2011). Modeling Fission-Yeast Growth Partitioning and Oscillating Cortical Cdc42 Populations. Biophysical Journal. 100(3). 445a–445a.
16.
Buchwald, Péter. (2007). Glucocorticoid receptor binding: A biphasic dependence on molecular size as revealed by the bilinear LinBiExp model. Steroids. 73(2). 193–208. 31 indexed citations
17.
Bodor, Nicholas & Péter Buchwald. (2006). Corticosteroid Design for the Treatment of Asthma: Structural Insights and the Therapeutic Potential of Soft Corticosteroids. Current Pharmaceutical Design. 12(25). 3241–3260. 35 indexed citations
18.
Sahasranaman, Srikumar, et al.. (2006). Differences in the glucocorticoid to progesterone receptor selectivity of inhaled glucocorticoids. European Respiratory Journal. 27(3). 511–516. 29 indexed citations
19.
Buchwald, Péter. (2006). A general bilinear model to describe growth or decline time profiles. Mathematical Biosciences. 205(1). 108–136. 37 indexed citations
20.
Wu, Whei‐Mei, et al.. (2005). Pharmacokinetic and Pharmacodynamic Evaluations of the Zwitterionic Metabolite of a New Series of N-Substituted Soft Anticholinergics. Pharmaceutical Research. 22(12). 2035–2044. 7 indexed citations

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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