Feng Xing

35 total papers · 1.1k total citations
20 papers, 641 citations indexed

About

Feng Xing is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Feng Xing has authored 20 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Feng Xing's work include Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (4 papers) and MicroRNA in disease regulation (4 papers). Feng Xing is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (4 papers) and MicroRNA in disease regulation (4 papers). Feng Xing collaborates with scholars based in China, United States and Germany. Feng Xing's co-authors include David B. Solit, Christine A. Pratilas, Ensar Halilovic, Weiqing Wang, Agnès Viale, Madhavi Tadi, Barry S. Taylor, Neal Rosen, Eric W. Joseph and Poulikos I. Poulikakos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Biochemical and Biophysical Research Communications.

In The Last Decade

Feng Xing

20 papers receiving 631 citations

Author Peers

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

Author						Papers	Cites
Feng Xing	489	200	124	83	74	20	641
Sumeer Dhar	448 0.9×	273 1.4×	85 0.7×	47 0.6×	34 0.5×	28	778
Silke Radetzki	516 1.1×	232 1.2×	99 0.8×	67 0.8×	46 0.6×	24	753
Aparna Gorthi	543 1.1×	145 0.7×	128 1.0×	35 0.4×	96 1.3×	23	749
Andrew M. Kidger	540 1.1×	155 0.8×	82 0.7×	63 0.8×	45 0.6×	13	683
Α. Φωτίου	339 0.7×	208 1.0×	97 0.8×	142 1.7×	24 0.3×	23	757
Carla L. Van Den Berg	586 1.2×	285 1.4×	153 1.2×	62 0.7×	20 0.3×	18	768
Andrew Olaharski	354 0.7×	111 0.6×	155 1.3×	28 0.3×	54 0.7×	21	641
Yidi Guan	519 1.1×	150 0.8×	194 1.6×	28 0.3×	31 0.4×	22	681
Gary Beale	416 0.9×	200 1.0×	101 0.8×	39 0.5×	18 0.2×	20	784
Natalie E. Simpson	372 0.8×	167 0.8×	123 1.0×	24 0.3×	36 0.5×	18	640

Countries citing papers authored by Feng Xing

Since Specialization

Citations

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

Fields of papers citing papers by Feng Xing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Xing

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

All Works

Loading papers...

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