Songzi Li

599 total citations · 1 hit paper
16 papers, 266 citations indexed

About

Songzi Li is a scholar working on Applied Mathematics, Geometry and Topology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Songzi Li has authored 16 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Applied Mathematics, 7 papers in Geometry and Topology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Songzi Li's work include Geometric Analysis and Curvature Flows (8 papers), Geometry and complex manifolds (7 papers) and Nonlinear Partial Differential Equations (5 papers). Songzi Li is often cited by papers focused on Geometric Analysis and Curvature Flows (8 papers), Geometry and complex manifolds (7 papers) and Nonlinear Partial Differential Equations (5 papers). Songzi Li collaborates with scholars based in China, Japan and United States. Songzi Li's co-authors include Xiang‐Dong Li, Masatoshi Kudo, Donatella Marino, Shukui Qin, Yabing Guo, Yaxi Chen, Andrew X. Zhu, Yuxian Bai, Frédéric Boisserie and Taroh Satoh and has published in prestigious journals such as Journal of Clinical Oncology, Cell and Tissue Research and Journal of Statistical Physics.

In The Last Decade

Songzi Li

15 papers receiving 255 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tislelizumab vs Sorafenib as First-Line Treatment for Unresectable Hepatocellular Carcinoma

2023 136 citations Shukui Qin, Masatoshi Kudo et al. JAMA Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Songzi Li China	8	93	87	73	56	48	16	266
Hiromichi Nakayama Japan	8	4 0.0×	4 0.0×	32 0.4×	94 1.7×	11 0.2×	25	181
Paolo Pigato Italy	8	115 1.2×	2 0.0×		29 0.5×	67 1.4×	22	263
David Swinarski United States	6		7 0.1×	38 0.5×	138 2.5×	6 0.1×	15	226
Mengdi Cao China	10	11 0.1×			66 1.2×	25 0.5×	22	218
Aibing Xu China	7	82 0.9×			74 1.3×	29 0.6×	10	179
José Luis Montero-Álvarez Spain	8	178 1.9×			62 1.1×	93 1.9×	12	343
Clemens Schotten Germany	6	130 1.4×			27 0.5×	108 2.3×	6	188
Bing Quan China	9	158 1.7×			98 1.8×	106 2.2×	24	300
Marta Mira-Aladrén Italy	9	98 1.1×			20 0.4×	17 0.4×	23	238
Shahid Hussain Pakistan	10	24 0.3×			43 0.8×	32 0.7×	18	311

Countries citing papers authored by Songzi Li

Since Specialization

Citations

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

Fields of papers citing papers by Songzi Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songzi Li

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Finn, Richard S., Masatoshi Kudo, Tim Meyer, et al.. (2024). Tislelizumab versus Sorafenib in First-Line Treatment of Unresectable Hepatocellular Carcinoma: Impact on Health-Related Quality of Life in RATIONALE-301 Study. Liver Cancer. 13(5). 548–560. 1 indexed citations

Li, Songzi & Xiang‐Dong Li. (2024). On the Shannon entropy power on Riemannian manifolds and Ricci flow. Tohoku Mathematical Journal. 76(4).

Huang, Dingzhi, et al.. (2023). The effects of tislelizumab treatment on the health‐related quality of life of patients with advanced non‐small cell lung cancer. Cancer Medicine. 12(16). 17403–17412. 2 indexed citations

Kuwae, Kazuhiro, et al.. (2023). Liouville theorem for V-harmonic maps under non-negative (m,V)-Ricci curvature for non-positive m. Stochastic Processes and their Applications. 168. 104270–104270. 1 indexed citations

Qin, Shukui, Masatoshi Kudo, Tim Meyer, et al.. (2023). Tislelizumab vs Sorafenib as First-Line Treatment for Unresectable Hepatocellular Carcinoma. JAMA Oncology. 9(12). 1651–1651. 136 indexed citations breakdown →

Finn, Richard S., Shukui Qin, Masatoshi Kudo, et al.. (2023). Tislelizumab versus sorafenib in first-line treatment of unresectable hepatocellular carcinoma: Impact on health-related quality of life in RATIONALE-301 population.. Journal of Clinical Oncology. 41(4_suppl). 495–495. 1 indexed citations

Li, Songzi, et al.. (2020). On the Law of Large Numbers for the Empirical Measure Process of Generalized Dyson Brownian Motion. Journal of Statistical Physics. 181(4). 1277–1305. 13 indexed citations

Li, Songzi. (2019). Matrix Dirichlet processes. Annales de l Institut Henri Poincaré Probabilités et Statistiques. 55(2). 1 indexed citations

Li, Songzi & Xiang‐Dong Li. (2019). W-Entropy, Super Perelman Ricci Flows, and (K, m)-Ricci Solitons. Journal of Geometric Analysis. 30(3). 3149–3180. 15 indexed citations

10.

Li, Songzi & Xiang‐Dong Li. (2018). W-entropy formulas on super Ricci flows and Langevin deformation on Wasserstein space over Riemannian manifolds. Science China Mathematics. 61(8). 1385–1406. 9 indexed citations

11.

Li, Songzi & Xiang‐Dong Li. (2018). On Harnack inequalities for Witten Laplacian on Riemannian manifolds with super Ricci flows. Asian Journal of Mathematics. 22(3). 577–598. 17 indexed citations

12.

Li, Songzi & Xiang‐Dong Li. (2017). Hamilton differential Harnack inequality and W-entropy for Witten Laplacian on Riemannian manifolds. Journal of Functional Analysis. 274(11). 3263–3290. 22 indexed citations

13.

Riasi, Arash, Zvi Schwartz, Xuan Liu, & Songzi Li. (2017). Revenue Management and Length-of-Stay-Based Room Pricing. Cornell Hospitality Quarterly. 58(4). 393–399. 22 indexed citations

14.

Li, Songzi. (2015). K-groups: A Generalization of K-means by Energy Distance. OhioLink ETD Center (Ohio Library and Information Network). 2 indexed citations

15.

Li, Songzi, Ken Takumi, Norio Iijima, & Hitoshi Ozawa. (2015). The increase in the number of spines on the gonadotropin-releasing hormone neuron across pubertal development in rats. Cell and Tissue Research. 364(2). 405–414. 4 indexed citations

16.

Li, Songzi & Xiang‐Dong Li. (2015). TheW-entropy formula for the Witten Laplacian on manifolds with time dependent metrics and potentials. Pacific Journal of Mathematics. 278(1). 173–199. 20 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.

Explore authors with similar magnitude of impact