Di Feng

152 total papers · 2.7k total citations
92 papers, 2.0k citations indexed

About

Di Feng is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Geophysics. According to data from OpenAlex, Di Feng has authored 92 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Health, Toxicology and Mutagenesis and 10 papers in Geophysics. Recurrent topics in Di Feng's work include Geological and Geochemical Analysis (9 papers), High-pressure geophysics and materials (8 papers) and earthquake and tectonic studies (7 papers). Di Feng is often cited by papers focused on Geological and Geochemical Analysis (9 papers), High-pressure geophysics and materials (8 papers) and earthquake and tectonic studies (7 papers). Di Feng collaborates with scholars based in China, Hong Kong and United States. Di Feng's co-authors include Xiaodong Mei, Xuqin Jiang, Patricia Fitzgerald‐Bocarsly, Jun Tai, Weiqian Zhang, Yue Che, Ann M. Dvořàk, Harold F. Dvorak, Janice A. Nagy and John A. Hipp and has published in prestigious journals such as Angewandte Chemie International Edition, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Di Feng

80 papers receiving 1.9k citations

Author Peers

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

Author						Papers	Cites
Di Feng	611	279	270	216	129	92	2.0k
Qingping Liu	501 0.8×	512 1.8×	105 0.4×	89 0.4×	79 0.6×	119	1.9k
Zhe Zhang	1.1k 1.8×	228 0.8×	205 0.8×	128 0.6×	183 1.4×	198	2.9k
Xiaolu Xu	436 0.7×	116 0.4×	133 0.5×	123 0.6×	157 1.2×	166	2.0k
Wenhao Tang	590 1.0×	72 0.3×	107 0.4×	101 0.5×	100 0.8×	137	2.2k
W. J. Johnson	870 1.4×	360 1.3×	182 0.7×	36 0.2×	228 1.8×	63	2.2k
Takashi Nishiyama	1.1k 1.7×	105 0.4×	286 1.1×	107 0.5×	454 3.5×	105	3.1k
Zhen Zou	1.0k 1.6×	188 0.7×	351 1.3×	50 0.2×	130 1.0×	105	2.6k
Xiaoli Su	741 1.2×	542 1.9×	106 0.4×	82 0.4×	66 0.5×	117	2.5k
Qianwei Li	377 0.6×	101 0.4×	194 0.7×	104 0.5×	108 0.8×	107	2.7k
Keiko Saito	449 0.7×	459 1.6×	60 0.2×	72 0.3×	215 1.7×	156	3.1k

Countries citing papers authored by Di Feng

Since Specialization

Citations

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

Fields of papers citing papers by Di Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Di Feng. A scholar is included among the top collaborators of Di Feng 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 Di Feng. Di Feng 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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