J Feng

23 total papers · 833 total citations
15 papers, 98 citations indexed

About

J Feng is a scholar working on Molecular Biology, Pharmacology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, J Feng has authored 15 papers receiving a total of 98 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pharmacology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in J Feng's work include Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper), Lipoproteins and Cardiovascular Health (1 paper) and Respiratory viral infections research (1 paper). J Feng is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper), Lipoproteins and Cardiovascular Health (1 paper) and Respiratory viral infections research (1 paper). J Feng collaborates with scholars based in China, United States and Israel. J Feng's co-authors include Biao Xu, Janakiraman Krishnamurthy, Tamie Nakajima, Yi‐Hua Zhou, Minghua Cao, Na Jiang, Xiaoqian Lin, Jin Liu, G. Shanmugam and Chuanqing Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

J Feng

10 papers receiving 97 citations

Author Peers

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

Author						Papers	Cites
J Feng	48	38	18	16	15	15	98
R. Orsenigo	47 1.0×	38 1.0×	22 1.2×	26 1.6×	8 0.5×	22	239
Iskren Kotzev	67 1.4×	58 1.5×	24 1.3×	12 0.8×	11 0.7×	18	135
Carolin Manthey	32 0.7×	44 1.2×	21 1.2×	10 0.6×	23 1.5×	11	139
Adriana Ribas Andrade	52 1.1×	26 0.7×	12 0.7×	25 1.6×	45 3.0×	17	124
Kate D. Lynch	69 1.4×	56 1.5×	18 1.0×	34 2.1×	16 1.1×	23	122
Mette Rye Clausen	121 2.5×	122 3.2×	27 1.5×	15 0.9×	8 0.5×	26	221
H-Y. Huang	20 0.4×	19 0.5×	30 1.7×	16 1.0×	6 0.4×	12	121
W. d’A. Maycock	54 1.1×	41 1.1×	12 0.7×	6 0.4×	9 0.6×	16	144
Imran Paruk	67 1.4×	31 0.8×	49 2.7×	48 3.0×	34 2.3×	17	216
Kin Jip Cheung	81 1.7×	62 1.6×	30 1.7×	20 1.3×	11 0.7×	17	217

Countries citing papers authored by J Feng

Since Specialization

Citations

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

Fields of papers citing papers by J Feng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Feng

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