Torben Heise

24 total papers · 1.0k total citations
16 papers, 654 citations indexed

About

Torben Heise is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Torben Heise has authored 16 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Organic Chemistry and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Torben Heise's work include Glycosylation and Glycoproteins Research (13 papers), Carbohydrate Chemistry and Synthesis (10 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Torben Heise is often cited by papers focused on Glycosylation and Glycoproteins Research (13 papers), Carbohydrate Chemistry and Synthesis (10 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Torben Heise collaborates with scholars based in Netherlands, United States and Switzerland. Torben Heise's co-authors include Thomas J. Boltje, Christian Büll, Gosse J. Adema, Martijn H. den Brok, Natasja Balneger, Victor R. L. J. Bloemendal, Melissa Wassink, Louis Boon, Johan van der Vlag and Jasper J. van Gemst and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Cancer Research.

In The Last Decade

Torben Heise

16 papers receiving 647 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Torben Heise 531 292 193 103 85 16 654
Ling Y. Lee 642 1.2× 185 0.6× 151 0.8× 92 0.9× 97 1.1× 12 740
Melissa A. Gray 562 1.1× 199 0.7× 181 0.9× 149 1.4× 137 1.6× 16 702
Yadong Wei 352 0.7× 316 1.1× 149 0.8× 123 1.2× 98 1.2× 13 599
Natália Rodrigues Mantuano 577 1.1× 341 1.2× 131 0.7× 183 1.8× 87 1.0× 17 777
Toshie Iwai 589 1.1× 257 0.9× 218 1.1× 33 0.3× 78 0.9× 15 669
Alejandro J. Cagnoni 522 1.0× 470 1.6× 183 0.9× 110 1.1× 36 0.4× 32 777
Kayluz Frias Boligan 512 1.0× 506 1.7× 95 0.5× 158 1.5× 120 1.4× 21 780
Jishun Lu 553 1.0× 287 1.0× 122 0.6× 83 0.8× 66 0.8× 18 792
Lenneke A. M. Cornelissen 411 0.8× 407 1.4× 62 0.3× 107 1.0× 62 0.7× 18 601
A. Takada 495 0.9× 225 0.8× 87 0.5× 131 1.3× 157 1.8× 19 758

Countries citing papers authored by Torben Heise

Since Specialization
Citations

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

Fields of papers citing papers by Torben Heise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torben Heise

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

All Works

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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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