Jin Wu

35 total papers · 1.3k total citations
27 papers, 1.0k citations indexed

About

Jin Wu is a scholar working on Economics and Econometrics, Pediatrics, Perinatology and Child Health and Physiology. According to data from OpenAlex, Jin Wu has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Economics and Econometrics, 6 papers in Pediatrics, Perinatology and Child Health and 5 papers in Physiology. Recurrent topics in Jin Wu's work include Neonatal Health and Biochemistry (6 papers), Adenosine and Purinergic Signaling (5 papers) and Environmental Impact and Sustainability (4 papers). Jin Wu is often cited by papers focused on Neonatal Health and Biochemistry (6 papers), Adenosine and Purinergic Signaling (5 papers) and Environmental Impact and Sustainability (4 papers). Jin Wu collaborates with scholars based in China, Hong Kong and United States. Jin Wu's co-authors include Burton B. Yang, Albert Yee, James D. Young, Julia E. Lever, Simon M. Jarvis, Chung‐Ming Tse, Mohan M. Kumaraswamy, A. R. P. Paterson, J A Belt and Liyan Zhang and has published in prestigious journals such as Journal of Biological Chemistry, The Science of The Total Environment and Biochemistry.

In The Last Decade

Jin Wu

27 papers receiving 985 citations

Author Peers

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

Author						Papers	Cites
Jin Wu	326	228	153	144	143	27	1.0k
Jiancheng Wang	590 1.8×	83 0.4×	8 0.1×	116 0.8×	136 1.0×	44	1.2k
Ángel Ordóñez	667 2.0×	109 0.5×	13 0.1×	98 0.7×	62 0.4×	23	1.2k
Jean-François Noël	701 2.2×	115 0.5×	21 0.1×	144 1.0×	61 0.4×	43	1.0k
Jason S. Pierce	811 2.5×	188 0.8×	22 0.1×	68 0.5×	57 0.4×	25	1.0k
Lihua Xu	434 1.3×	117 0.5×	80 0.5×	12 0.1×	111 0.8×	35	857
Lei Fang	283 0.9×	37 0.2×	5 0.0×	66 0.5×	53 0.4×	98	1.2k
Wanqiu Hu	254 0.8×	262 1.1×	64 0.4×	12 0.1×	16 0.1×	13	998
Donald R. Harkness	234 0.7×	206 0.9×	16 0.1×	87 0.6×	16 0.1×	33	941
Véronique Bouchard	449 1.4×	112 0.5×	27 0.2×	34 0.2×	297 2.1×	29	1.2k
Tingting Ge	461 1.4×	20 0.1×	9 0.1×	113 0.8×	99 0.7×	63	1.1k

Countries citing papers authored by Jin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Wu

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