Panseok Yang
- Geophysics top 2%
- Artificial Intelligence top 5%
- Geochemistry and Petrology top 2%
- Inorganic Chemistry top 10%
- Paleontology top 10%
- Co-authors
- Toby RiversEkaterina P. ReguirAnton R. ChakhmouradianDavid R.M. PattisonAnatoly N. ZaitsevNorman M. HaldenN. M. HaldenJindřích Kynický
- Topics
- Geological and Geochemical Analysis (21 papers)Geochemistry and Geologic Mapping (11 papers)Mineralogy and Gemology Studies (6 papers)
- Partner nations
- CanadaRussiaUnited Kingdom
In The Last Decade
Panseok Yang
28 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 63
- Geophysics 955
- Artificial Intelligence 436
- Geochemistry and Petrology 251
- Inorganic Chemistry 90
- Paleontology 78
Countries citing papers authored by Panseok Yang
This map shows the geographic impact of Panseok Yang'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 Panseok Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panseok Yang more than expected).
Fields of papers citing papers by Panseok Yang
This network shows the impact of papers produced by Panseok Yang. 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 Panseok Yang. The network helps show where Panseok Yang may publish in the future.
Co-authorship network of co-authors of Panseok Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Panseok Yang. A scholar is included among the top collaborators of Panseok Yang 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 Panseok Yang. Panseok Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 190 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 97 | |
| 9 | 9 | |
| 10 | 68 | |
| 11 | 55 | |
| 12 | Uranium-lead dating of perovskite from the Afrikanda plutonic complex (Kola Peninsula, Russia) using LA-ICP-MS. | 1 |
| 13 | 26 | |
| 14 | 39 | |
| 15 | 2 | |
| 16 | 88 | |
| 17 | 10 | |
| 18 | The origin of Mn and Y annuli in garnet and the thermal dependence of P in garnet and Y in apatite in calc-pelite and pelite, Gagnon terrane, western Labrador | 81 |
| 19 | 48 | |
| 20 | CRYSTAL-CHEMICAL AND THERMAL CONTROLS ON TRACE-ELEMENT PARTITIONING BETWEEN COEXISTING GARNET AND BIOTITE IN METAMORPHIC ROCKS FROM WESTERN LABRADOR | 24 |
About Panseok Yang
Panseok Yang is a scholar working on Geochemistry and Petrology, Geophysics and Archeology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (21 papers), Geochemistry and Geologic Mapping (11 papers) and Mineralogy and Gemology Studies (6 papers). The work is most often cited by research in Geophysics (955 citations), Geochemistry and Petrology (251 citations) and Artificial Intelligence (436 citations). Panseok Yang has collaborated with scholars based in Canada, Russia and United Kingdom. Frequent co-authors include Toby Rivers, Ekaterina P. Reguir, Anton R. Chakhmouradian, David R.M. Pattison, Anatoly N. Zaitsev, Norman M. Halden, N. M. Halden, Jindřích Kynický, Cheng Xu and A H Mumin. Their work appears in journals such as Environmental Science & Technology, Geochimica et Cosmochimica Acta and Chemosphere.
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.