Suohan Tang

1.9k citations
34 papers · 1.6k indexed · h-index 21

Impact in

  • Geophysics top 1%
    • Geological and Geochemical Analysis
    • earthquake and tectonic studies
    • High-pressure geophysics and materials
    • Geochemistry and Elemental Analysis

Papers in

    • Geological and Geochemical Analysis 23
    • High-pressure geophysics and materials 18
    • earthquake and tectonic studies 16
    • Geochemistry and Elemental Analysis 10

Suohan Tang

34 papers receiving 1.5k citations

Peers

Suohan Tang
Comparison fields: 5 of 44
  • Geophysics 1.4k
  • Geochemistry and Petrology 341
  • Paleontology 187
  • Geology 110
  • Artificial Intelligence 549
Replace Svetlana Tessalina with:
Svetlana Tessalina Australia
Gerhard Brügmann Germany
Zhong‐Yuan Ren China
Heejin Jeon Sweden
Takeshi Hanyu Japan
Yongjun Su United States
Zhenhui Hou China
Frances E. Jenner United Kingdom
Stephan König Germany
Shuo Chen China
Suohan Tang relative to Svetlana Tessalina Australia Svetlana Tessalina's profile →
Citations per field
00.5×1.5×2.0×
Svetlana Tessalina · 1×
Citations per year

Countries citing papers authored by Suohan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Suohan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Suohan Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Suohan Tang Line = papers co-authored together Suohan Tang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20244
3 20242
4 20221
5 20218
6 202033
7 201844
8 201837
9 201821
10 201520
11 201577
12 2012134
13 2012150
14
Mo Isotope Measurements Using Double Spike Techniques
20111
15 2011105
16 20116
17 201042
18 200976
19 200113
20 20015

About Suohan Tang

Suohan Tang is a scholar working on Geophysics, Geochemistry and Petrology, Paleontology, Inorganic Chemistry and Atmospheric Science, having authored 34 papers that have together received 1.6k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (23 papers), High-pressure geophysics and materials (18 papers), earthquake and tectonic studies (16 papers), Geochemistry and Elemental Analysis (10 papers), Geochemistry and Geologic Mapping (6 papers), Geology and Paleoclimatology Research (5 papers), Isotope Analysis in Ecology (5 papers) and Radioactive element chemistry and processing (4 papers). The work is most often cited by research in Geophysics (1.4k citations), Geochemistry and Petrology (341 citations), Paleontology (187 citations), Geology (110 citations) and Artificial Intelligence (549 citations). Suohan Tang has collaborated with scholars based in China, Taiwan and United Kingdom. Frequent co-authors include Bor‐ming Jahn, Jun Wang, Qing‐guo Zhai, Peiyuan Hu, Hao‐Yang Lee, Yue Tang, Xiangkun Zhu, Sun‐Lin Chung, Xin-Miao Zhao and Li Su. Their work appears in journals such as Lithos, Geostandards and Geoanalytical Research, Journal of Asian Earth Sciences, Gondwana Research and Chemical Geology.

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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