John Hintze

416 total citations
8 papers, 234 citations indexed

About

John Hintze is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, John Hintze has authored 8 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Organic Chemistry. Recurrent topics in John Hintze's work include Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). John Hintze is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). John Hintze collaborates with scholars based in Denmark, United States and United Kingdom. John Hintze's co-authors include Katrine T. Schjoldager, Sergey Y. Vakhrushev, Hiren J. Joshi, Eric Bennett, Ulla Mandel, Yoshiki Narimatsu, Christoffer K. Goth, Thomas D. Madsen, Zilu Ye and Markus Aebi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

John Hintze

8 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Hintze Denmark 6 177 42 38 29 25 8 234
Giuseppe Punzi Italy 11 241 1.4× 22 0.5× 26 0.7× 12 0.4× 17 0.7× 14 362
Avidor Shulman Israel 7 184 1.0× 63 1.5× 40 1.1× 10 0.3× 31 1.2× 13 310
Qijia Yu China 7 242 1.4× 11 0.3× 61 1.6× 12 0.4× 42 1.7× 9 394
Reed B. Jacob United States 8 204 1.2× 37 0.9× 14 0.4× 27 0.9× 12 0.5× 10 307
Annabelle Hoegl Canada 11 250 1.4× 63 1.5× 9 0.2× 10 0.3× 40 1.6× 13 359
Toshihiko Kitajima Japan 13 280 1.6× 110 2.6× 73 1.9× 8 0.3× 80 3.2× 17 383
J. W. JAROSZEWSKI Denmark 9 316 1.8× 52 1.2× 32 0.8× 18 0.6× 8 0.3× 18 444
John A. Lupisella United States 11 249 1.4× 25 0.6× 26 0.7× 24 0.8× 34 1.4× 14 408
Shannon L. Nowotarski United States 7 398 2.2× 32 0.8× 21 0.6× 60 2.1× 14 0.6× 17 456
Aarya Venkat United States 8 143 0.8× 25 0.6× 19 0.5× 9 0.3× 22 0.9× 19 202

Countries citing papers authored by John Hintze

Since Specialization
Citations

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

Fields of papers citing papers by John Hintze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Hintze

This figure shows the co-authorship network connecting the top 25 collaborators of John Hintze. A scholar is included among the top collaborators of John Hintze 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 John Hintze. John Hintze is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Madsen, Thomas D., John Hintze, Christoffer K. Goth, et al.. (2025). Map of the neuronal O-glycoproteome reveals driver functions in the regulated secretory pathway. Journal of Biological Chemistry. 301(7). 110313–110313. 1 indexed citations
2.
Hintze, John, Noortje de Haan, Rebecca L. Miller, et al.. (2025). Compositional and topological determinants of a physiological Ashwell–Morell receptor ligand. Proceedings of the National Academy of Sciences. 122(15). e2427129122–e2427129122. 1 indexed citations
3.
Larsen, Ida Signe Bohse, Luping Zhou, Weihua Tian, et al.. (2023). The SHDRA syndrome-associated gene TMEM260 encodes a protein-specific O-mannosyltransferase. Proceedings of the National Academy of Sciences. 120(21). e2302584120–e2302584120. 17 indexed citations
4.
Madsen, Thomas D., John Hintze, Zilu Ye, et al.. (2020). An atlas of O-linked glycosylation on peptide hormones reveals diverse biological roles. Nature Communications. 11(1). 4033–4033. 52 indexed citations
5.
Narimatsu, Yoshiki, Hiren J. Joshi, Katrine T. Schjoldager, et al.. (2019). Exploring Regulation of Protein O-Glycosylation in Isogenic Human HEK293 Cells by Differential O-Glycoproteomics. Molecular & Cellular Proteomics. 18(7). 1396–1409. 42 indexed citations
6.
Kombrink, Anja, Annageldi Tayyrov, Andreas Essig, et al.. (2018). Induction of antibacterial proteins and peptides in the coprophilous mushroom Coprinopsis cinerea in response to bacteria. The ISME Journal. 13(3). 588–602. 63 indexed citations
7.
Hintze, John, Zilu Ye, Yoshiki Narimatsu, et al.. (2018). Probing the contribution of individual polypeptide GalNAc-transferase isoforms to the O-glycoproteome by inducible expression in isogenic cell lines. Journal of Biological Chemistry. 293(49). 19064–19077. 37 indexed citations
8.
Pinto, Rita, Lars Hestbjerg Hansen, John Hintze, et al.. (2017). Precise integration of inducible transcriptional elements (PrIITE) enables absolute control of gene expression. Nucleic Acids Research. 45(13). e123–e123. 21 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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