Yin Yani

11 total papers · 416 total citations
8 papers, 363 citations indexed

About

Yin Yani is a scholar working on Materials Chemistry, Pharmaceutical Science and Spectroscopy. According to data from OpenAlex, Yin Yani has authored 8 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 5 papers in Pharmaceutical Science and 2 papers in Spectroscopy. Recurrent topics in Yin Yani's work include Crystallization and Solubility Studies (5 papers), Drug Solubulity and Delivery Systems (5 papers) and Analytical Chemistry and Chromatography (2 papers). Yin Yani is often cited by papers focused on Crystallization and Solubility Studies (5 papers), Drug Solubulity and Delivery Systems (5 papers) and Analytical Chemistry and Chromatography (2 papers). Yin Yani collaborates with scholars based in Singapore and United States. Yin Yani's co-authors include Reginald B. H. Tan, Pui Shan Chow, Monica H. Lamm, Parijat Kanaujia, Sendhil K. Poornachary, Guangjun Han, Krishna M. Gupta and Wai Kiong Ng and has published in prestigious journals such as Polymer, Industrial & Engineering Chemistry Research and Microporous and Mesoporous Materials.

In The Last Decade

Yin Yani

8 papers receiving 358 citations

Author Peers

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

Author Last Decade Papers Cites
Yin Yani 247 96 55 54 50 8 363
Kathrin Nollenberger 158 0.6× 226 2.4× 63 1.1× 30 0.6× 27 0.5× 9 334
Zeinab Moussa 105 0.4× 48 0.5× 37 0.7× 84 1.6× 37 0.7× 9 398
Chailu Que 145 0.6× 189 2.0× 45 0.8× 96 1.8× 30 0.6× 10 374
Gary Nichols 183 0.7× 81 0.8× 35 0.6× 29 0.5× 10 0.2× 6 356
Daniel J. Price 170 0.7× 223 2.3× 97 1.8× 61 1.1× 20 0.4× 13 393
Dolapo Olusanmi 119 0.5× 130 1.4× 90 1.6× 14 0.3× 18 0.4× 12 333
Sari Westermarck 82 0.3× 145 1.5× 35 0.6× 48 0.9× 16 0.3× 9 318
Alazar N. Ghebremeskel 147 0.6× 263 2.7× 66 1.2× 35 0.6× 36 0.7× 8 386
Daniel J. Jarmer 190 0.8× 62 0.6× 47 0.9× 23 0.4× 15 0.3× 9 308
Tesfai Sebhatu 100 0.4× 240 2.5× 68 1.2× 47 0.9× 26 0.5× 5 384

Countries citing papers authored by Yin Yani

Since Specialization
Citations

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

Fields of papers citing papers by Yin Yani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Yani

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