Markus Waelchli

40 total papers · 990 total citations
20 papers, 808 citations indexed

About

Markus Waelchli is a scholar working on Organic Chemistry, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Markus Waelchli has authored 20 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 13 papers in Materials Chemistry and 3 papers in Molecular Biology. Recurrent topics in Markus Waelchli's work include Fullerene Chemistry and Applications (13 papers), Boron and Carbon Nanomaterials Research (8 papers) and Graphene research and applications (7 papers). Markus Waelchli is often cited by papers focused on Fullerene Chemistry and Applications (13 papers), Boron and Carbon Nanomaterials Research (8 papers) and Graphene research and applications (7 papers). Markus Waelchli collaborates with scholars based in Japan, United States and Germany. Markus Waelchli's co-authors include Takeshi Akasaka, Shigeru Nagase, Takatsugu Wakahara, Yutaka Maeda, Karl M. Kadish, Kaoru Kobayashi, Tatsuhisa Kato, Takahiro Tsuchiya, Masahiro Kako and Kazunori Yamamoto and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and The Journal of Physical Chemistry B.

In The Last Decade

Markus Waelchli

20 papers receiving 798 citations

Author Peers

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

Author Last Decade Papers Cites
Markus Waelchli 697 619 126 87 53 20 808
Maria A. Cichy 627 0.9× 438 0.7× 94 0.7× 201 2.3× 36 0.7× 10 768
Ouissam El Bakouri 464 0.7× 281 0.5× 72 0.6× 53 0.6× 14 0.3× 23 706
Thanh Luu 595 0.9× 239 0.4× 148 1.2× 82 0.9× 15 0.3× 33 848
Mengmeng Zheng 538 0.8× 227 0.4× 27 0.2× 196 2.3× 35 0.7× 29 848
Sho‐ichi Iwamatsu 754 1.1× 618 1.0× 170 1.3× 20 0.2× 7 0.1× 23 858
Sandra Mosquera‐Vázquez 323 0.5× 290 0.5× 95 0.8× 70 0.8× 16 0.3× 13 726
Zhongyu Mou 372 0.5× 318 0.5× 63 0.5× 97 1.1× 13 0.2× 20 971
Barry Moore 342 0.5× 386 0.6× 226 1.8× 71 0.8× 55 1.0× 21 915
Vikki M. Tsefrikas 741 1.1× 458 0.7× 82 0.7× 27 0.3× 8 0.2× 8 837
Arnon Olankitwanit 368 0.5× 353 0.6× 80 0.6× 35 0.4× 24 0.5× 12 755

Countries citing papers authored by Markus Waelchli

Since Specialization
Citations

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

Fields of papers citing papers by Markus Waelchli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Waelchli

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Waelchli. A scholar is included among the top collaborators of Markus Waelchli 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 Markus Waelchli. Markus Waelchli 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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