Yan‐Long Ma

22 total papers · 434 total citations
14 papers, 355 citations indexed

About

Yan‐Long Ma is a scholar working on Organic Chemistry, Molecular Biology and Spectroscopy. According to data from OpenAlex, Yan‐Long Ma has authored 14 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organic Chemistry, 5 papers in Molecular Biology and 4 papers in Spectroscopy. Recurrent topics in Yan‐Long Ma's work include Supramolecular Chemistry and Complexes (5 papers), Molecular Sensors and Ion Detection (4 papers) and Cyclopropane Reaction Mechanisms (3 papers). Yan‐Long Ma is often cited by papers focused on Supramolecular Chemistry and Complexes (5 papers), Molecular Sensors and Ion Detection (4 papers) and Cyclopropane Reaction Mechanisms (3 papers). Yan‐Long Ma collaborates with scholars based in China, Macao and Finland. Yan‐Long Ma's co-authors include Wei Jiang, Kari Rissanen, Ruibing Wang, Hua Cao, Arto Valkonen, Hua Ke, Jiaji Zhao, Mao Quan, Chen Sun and Qian Cheng and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Small.

In The Last Decade

Yan‐Long Ma

12 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Yan‐Long Ma 220 130 100 80 71 14 355
Hang Zhou 190 0.9× 152 1.2× 111 1.1× 74 0.9× 70 1.0× 29 364
Carlo Bravin 215 1.0× 144 1.1× 110 1.1× 46 0.6× 85 1.2× 16 364
Alexander B. C. Deutman 255 1.2× 106 0.8× 166 1.7× 45 0.6× 98 1.4× 9 341
Zifei Lu 213 1.0× 96 0.7× 110 1.1× 93 1.2× 69 1.0× 9 329
James N. Lowe 253 1.1× 111 0.9× 102 1.0× 55 0.7× 123 1.7× 11 351
Stephen Rieth 297 1.4× 152 1.2× 120 1.2× 81 1.0× 69 1.0× 13 372
A. J. M. van Beijnen 266 1.2× 114 0.9× 87 0.9× 64 0.8× 79 1.1× 10 356
Bereket Ghebremariam 188 0.9× 224 1.7× 121 1.2× 69 0.9× 157 2.2× 11 382
Meghan E. Bush 253 1.1× 261 2.0× 87 0.9× 71 0.9× 57 0.8× 7 387
Yunhao Bai 168 0.8× 74 0.6× 107 1.1× 104 1.3× 68 1.0× 15 331

Countries citing papers authored by Yan‐Long Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yan‐Long Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan‐Long Ma. 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 Yan‐Long Ma. The network helps show where Yan‐Long Ma may publish in the future.

Co-authorship network of co-authors of Yan‐Long Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yan‐Long Ma. A scholar is included among the top collaborators of Yan‐Long Ma 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 Yan‐Long Ma. Yan‐Long Ma 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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