Jing Gan

19 total papers · 531 total citations
12 papers, 403 citations indexed

About

Jing Gan is a scholar working on Biomedical Engineering, Industrial and Manufacturing Engineering and Pollution. According to data from OpenAlex, Jing Gan has authored 12 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Industrial and Manufacturing Engineering and 2 papers in Pollution. Recurrent topics in Jing Gan's work include Phosphorus and nutrient management (4 papers), Biofuel production and bioconversion (3 papers) and Thermochemical Biomass Conversion Processes (3 papers). Jing Gan is often cited by papers focused on Phosphorus and nutrient management (4 papers), Biofuel production and bioconversion (3 papers) and Thermochemical Biomass Conversion Processes (3 papers). Jing Gan collaborates with scholars based in United States, China and Japan. Jing Gan's co-authors include Wenqiao Yuan, Nathan O. Nelson, Bo Hu, Yulin Ye, Yutaka Kitamura, Weizhong Jiang, Baoming Li, Ke Zhang, Donghai Wang and Loretta C. Johnson and has published in prestigious journals such as Bioresource Technology, Applied Energy and Soil Science.

In The Last Decade

Jing Gan

12 papers receiving 386 citations

Author Peers

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

Author						Papers	Cites
Jing Gan	158	136	87	86	65	12	403
P. Cely	241 1.5×	106 0.8×	102 1.2×	73 0.8×	70 1.1×	5	431
Caidi Yang	215 1.4×	57 0.4×	56 0.6×	72 0.8×	96 1.5×	21	399
Sepideh Abrishamkesh	218 1.4×	77 0.6×	101 1.2×	54 0.6×	88 1.4×	7	426
Jubaedah	175 1.1×	58 0.4×	75 0.9×	36 0.4×	58 0.9×	10	337
Simon Weldon	134 0.8×	47 0.3×	40 0.5×	76 0.9×	49 0.8×	17	380
Samar Chandra Datta	105 0.7×	139 1.0×	107 1.2×	55 0.6×	139 2.1×	22	356
Deborah Aller	209 1.3×	64 0.5×	64 0.7×	35 0.4×	71 1.1×	12	370
Paloma Campos	103 0.7×	91 0.7×	64 0.7×	58 0.7×	38 0.6×	15	356
O. Oziegbe	82 0.5×	73 0.5×	55 0.6×	58 0.7×	52 0.8×	10	375
Edward Someus	89 0.6×	72 0.5×	53 0.6×	123 1.4×	139 2.1×	13	406

Countries citing papers authored by Jing Gan

Since Specialization

Citations

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

Fields of papers citing papers by Jing Gan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Gan

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