Wei‐jia Su

2.1k total citations · 1 hit paper
11 papers, 1.5k citations indexed

About

Wei‐jia Su is a scholar working on Geophysics, Molecular Biology and Cancer Research. According to data from OpenAlex, Wei‐jia Su has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geophysics, 2 papers in Molecular Biology and 1 paper in Cancer Research. Recurrent topics in Wei‐jia Su's work include High-pressure geophysics and materials (9 papers), earthquake and tectonic studies (8 papers) and Geological and Geochemical Analysis (6 papers). Wei‐jia Su is often cited by papers focused on High-pressure geophysics and materials (9 papers), earthquake and tectonic studies (8 papers) and Geological and Geochemical Analysis (6 papers). Wei‐jia Su collaborates with scholars based in United States and China. Wei‐jia Su's co-authors include Adam M. Dziewoński, Robert L. Woodward, Yu Jeffrey Gu, Raymond Jeanloz, Göran Ekström, Jinbo Chen, Huiru Tang, Ningning Dang, Shuhong Huang and Hao Liang and has published in prestigious journals such as Nature, Science and Journal of Geophysical Research Atmospheres.

In The Last Decade

Wei‐jia Su

11 papers receiving 1.3k citations

Hit Papers

Degree 12 model of shear velocity heterogeneity in the ma... 1994 2026 2004 2015 1994 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wei‐jia Su United States 8 1.4k 174 74 63 43 11 1.5k
J. C. E. Irving United Kingdom 15 596 0.4× 108 0.6× 26 0.4× 40 0.6× 127 3.0× 39 693
Sanne Cottaar United Kingdom 21 1.3k 0.9× 91 0.5× 18 0.2× 10 0.2× 45 1.0× 45 1.3k
T. Yukutake United States 10 287 0.2× 162 0.9× 44 0.6× 37 0.6× 76 1.8× 22 369
Joseph S. Resovsky United States 11 787 0.6× 41 0.2× 31 0.4× 63 1.0× 17 0.4× 13 815
Bernhard S. A. Schuberth Germany 16 1.1k 0.8× 66 0.4× 23 0.3× 280 4.4× 11 0.3× 31 1.2k
Naoto Oshiman Japan 17 787 0.6× 55 0.3× 16 0.2× 199 3.2× 30 0.7× 50 824
B. P. Singh India 14 433 0.3× 152 0.9× 48 0.6× 61 1.0× 62 1.4× 48 518
D. S. Weeraratne United States 17 802 0.6× 35 0.2× 16 0.2× 30 0.5× 48 1.1× 36 887
Philippe Machetel France 13 670 0.5× 168 1.0× 31 0.4× 5 0.1× 42 1.0× 24 751
Pei‐Ying Patty Lin Taiwan 5 423 0.3× 85 0.5× 31 0.4× 17 0.3× 304 7.1× 9 623

Countries citing papers authored by Wei‐jia Su

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐jia Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐jia Su. 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 Wei‐jia Su. The network helps show where Wei‐jia Su may publish in the future.

Co-authorship network of co-authors of Wei‐jia Su

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐jia Su. A scholar is included among the top collaborators of Wei‐jia Su 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 Wei‐jia Su. Wei‐jia Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Liu, Xiaojing, Wei‐jia Su, Hao Liang, et al.. (2022). LINC00665 sponges miR-641 to promote the progression of breast cancer by targeting the SNF2-related CREBBP activator protein (SRCAP). Bioengineered. 13(2). 4573–4586. 6 indexed citations
2.
Su, Wei‐jia, et al.. (2011). An Automatic Wavelet Transform Based ECG Detection Algorithm. 1–3. 2 indexed citations
3.
Gu, Yu Jeffrey, Adam M. Dziewoński, Wei‐jia Su, & Göran Ekström. (2001). Models of the mantle shear velocity and discontinuities in the pattern of lateral heterogeneities. Journal of Geophysical Research Atmospheres. 106(B6). 11169–11199. 147 indexed citations
4.
Su, Wei‐jia & Adam M. Dziewoński. (1997). Simultaneous inversion for 3-D variations in shear and bulk velocity in the mantle. Physics of The Earth and Planetary Interiors. 100(1-4). 135–156. 249 indexed citations
5.
Su, Wei‐jia, Adam M. Dziewoński, & Raymond Jeanloz. (1996). Planet Within a Planet: Rotation of the Inner Core of Earth. Science. 274(5294). 1883–1887. 112 indexed citations
6.
Su, Wei‐jia & Adam M. Dziewoński. (1995). Inner core anisotropy in three dimensions. Journal of Geophysical Research Atmospheres. 100(B6). 9831–9852. 105 indexed citations
7.
Su, Wei‐jia, Robert L. Woodward, & Adam M. Dziewoński. (1994). Degree 12 model of shear velocity heterogeneity in the mantle. Journal of Geophysical Research Atmospheres. 99(B4). 6945–6980. 531 indexed citations breakdown →
8.
Su, Wei‐jia, et al.. (1994). Seismicity and stress field in Okinawa Trough and Ryukyu regions. Acta Seismologica Sinica. 7(4). 513–520. 2 indexed citations
9.
Su, Wei‐jia & Adam M. Dziewoński. (1992). On the scale of mantle heterogeneity. Physics of The Earth and Planetary Interiors. 74(1-2). 29–54. 79 indexed citations
10.
Su, Wei‐jia, Robert L. Woodward, & Adam M. Dziewoński. (1992). Deep origin of mid-ocean-ridge seismic velocity anomalies. Nature. 360(6400). 149–152. 76 indexed citations
11.
Su, Wei‐jia & Adam M. Dziewoński. (1991). Predominance of long-wavelength heterogeneity in the mantle. Nature. 352(6331). 121–126. 171 indexed citations

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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