Ting Peng

49 total papers · 947 total citations
29 papers, 322 citations indexed

About

Ting Peng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Ting Peng has authored 29 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Oncology. Recurrent topics in Ting Peng's work include Genetic Neurodegenerative Diseases (5 papers), Cancer-related molecular mechanisms research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Ting Peng is often cited by papers focused on Genetic Neurodegenerative Diseases (5 papers), Cancer-related molecular mechanisms research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Ting Peng collaborates with scholars based in China, Hong Kong and United States. Ting Peng's co-authors include Li He, Shitong Lin, Ping Wu, Wenhua Zhi, Canhui Cao, Huiping Tan, Yifan Meng, Wencheng Ding, Peng Wu and Peipei Gao and has published in prestigious journals such as Brain Research, Advanced Science and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Ting Peng

27 papers receiving 318 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ting Peng	167	61	56	48	42	29	322
Antonella Puglianiello	115 0.7×	35 0.6×	54 1.0×	18 0.4×	27 0.6×	24	350
Pascale Adami	209 1.3×	18 0.3×	60 1.1×	74 1.5×	26 0.6×	22	336
Likui Lu	148 0.9×	38 0.6×	16 0.3×	13 0.3×	20 0.5×	30	303
Y Yu	130 0.8×	34 0.6×	66 1.2×	80 1.7×	12 0.3×	22	328
Majdi Nagara	160 1.0×	21 0.3×	36 0.6×	36 0.8×	63 1.5×	25	341
Lujuan Zhang	192 1.1×	18 0.3×	32 0.6×	21 0.4×	29 0.7×	35	362
Meiqin Zhang	185 1.1×	10 0.2×	25 0.4×	36 0.8×	40 1.0×	30	340
Paul Rodriguez‐Waitkus	104 0.6×	53 0.9×	101 1.8×	22 0.5×	89 2.1×	22	357
Nobuaki Funahashi	206 1.2×	48 0.8×	43 0.8×	32 0.7×	23 0.5×	20	340
Atul Kumar	118 0.7×	40 0.7×	13 0.2×	77 1.6×	63 1.5×	25	285

Countries citing papers authored by Ting Peng

Since Specialization

Citations

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

Fields of papers citing papers by Ting Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Peng

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

All Works

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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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