Fengting Su

467 total citations
9 papers, 256 citations indexed

About

Fengting Su is a scholar working on Molecular Biology, Geriatrics and Gerontology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fengting Su has authored 9 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Geriatrics and Gerontology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fengting Su's work include Ubiquitin and proteasome pathways (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Fengting Su is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Sirtuins and Resveratrol in Medicine (3 papers) and Histone Deacetylase Inhibitors Research (2 papers). Fengting Su collaborates with scholars based in China, Austria and Germany. Fengting Su's co-authors include Andreas Koeberle, Baohua Liu, Xiaolong Tang, Zuojun Liu, Minxian Qian, Lei Shi, Meng Yuan, Jie Sun, Ji Li and Wei‐Guo Zhu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Circulation Research.

In The Last Decade

Fengting Su

9 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fengting Su China	7	138	48	42	38	34	9	256
Jichao Wu China	9	154 1.1×	26 0.5×	45 1.1×	28 0.7×	53 1.6×	15	362
Mengyue Yang China	9	207 1.5×	67 1.4×	36 0.9×	30 0.8×	15 0.4×	18	319
Fahmida Rasha United States	10	119 0.9×	69 1.4×	68 1.6×	85 2.2×	24 0.7×	15	334
Shudong Wang China	6	107 0.8×	31 0.6×	27 0.6×	38 1.0×	14 0.4×	14	234
Hongmu Li China	11	108 0.8×	58 1.2×	21 0.5×	43 1.1×	16 0.5×	20	253
Manhua Chen China	11	209 1.5×	59 1.2×	99 2.4×	19 0.5×	13 0.4×	15	341
Ugo Chianese Italy	10	149 1.1×	47 1.0×	27 0.6×	54 1.4×	11 0.3×	27	251
Pang‐Bo Li China	12	197 1.4×	36 0.8×	48 1.1×	46 1.2×	14 0.4×	16	332
Masaki Kimata Japan	7	169 1.2×	54 1.1×	103 2.5×	30 0.8×	15 0.4×	7	351

Countries citing papers authored by Fengting Su

Since Specialization

Citations

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

Fields of papers citing papers by Fengting Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fengting Su

This figure shows the co-authorship network connecting the top 25 collaborators of Fengting Su. A scholar is included among the top collaborators of Fengting 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 Fengting Su. Fengting Su 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:

9 of 9 papers shown

1.

Koeberle, Solveigh C., Fengting Su, Markus Werner, et al.. (2025). Silybin A from Silybum marianum reprograms lipid metabolism to induce a cell fate-dependent class switch from triglycerides to phospholipids. Theranostics. 15(5). 2006–2034. 1 indexed citations

2.

Su, Fengting, Hermann Stuppner, Ira Skvortsova, et al.. (2024). Iron(III)-salophene catalyzes redox cycles that induce phospholipid peroxidation and deplete cancer cells of ferroptosis-protecting cofactors. Redox Biology. 75. 103257–103257. 5 indexed citations

3.

Su, Fengting & Andreas Koeberle. (2023). Regulation and targeting of SREBP-1 in hepatocellular carcinoma. Cancer and Metastasis Reviews. 43(2). 673–708. 52 indexed citations

4.

Tang, Xiaolong, Cheng Li-zhi, Li Guo, et al.. (2021). A small-molecule compound D6 overcomes EGFR-T790M-mediated resistance in non-small cell lung cancer. Communications Biology. 4(1). 1391–1391. 11 indexed citations

5.

Tang, Xiaolong, Guo Li, Lei Shi, et al.. (2021). Combined intermittent fasting and ERK inhibition enhance the anti-tumor effects of chemotherapy via the GSK3β-SIRT7 axis. Nature Communications. 12(1). 5058–5058. 46 indexed citations

6.

Su, Fengting, Xiaolong Tang, Li Guo, Andreas Koeberle, & Baohua Liu. (2021). SIRT7–SREBP1 restrains cancer cell metabolic reprogramming by upregulating IDH1. 2(2). 126–137. 9 indexed citations

7.

Tang, Xiaolong, Li Guo, Fengting Su, et al.. (2020). HDAC8 cooperates with SMAD3/4 complex to suppress SIRT7 and promote cell survival and migration. Nucleic Acids Research. 48(6). 2912–2923. 75 indexed citations

8.

Ren, Liwei, Yuan Sun, Hong Lü, et al.. (2018). (Pro)renin Receptor Inhibition Reprograms Hepatic Lipid Metabolism and Protects Mice From Diet-Induced Obesity and Hepatosteatosis. Circulation Research. 122(5). 730–741. 45 indexed citations

9.

Wang, Lefeng, et al.. (2015). Capillary bridges and capillary forces between two axisymmetric power–law particles. Particuology. 27. 122–127. 12 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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