Weijing Gong

33 total papers · 698 total citations
25 papers, 550 citations indexed

About

Weijing Gong is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Weijing Gong has authored 25 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cancer Research and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Weijing Gong's work include Lung Cancer Treatments and Mutations (5 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (4 papers). Weijing Gong is often cited by papers focused on Lung Cancer Treatments and Mutations (5 papers), Cancer-related molecular mechanisms research (4 papers) and MicroRNA in disease regulation (4 papers). Weijing Gong collaborates with scholars based in China, Japan and Australia. Weijing Gong's co-authors include Zhaoqian Liu, Ji‐Ye Yin, Di Xiao, Hong‐Hao Zhou, Wei Zhang, Xiangping Li, Xi Li, Chao Fang, Hong‐Hao Zhou and Sanlan Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Weijing Gong

25 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Weijing Gong	312	254	109	80	55	25	550
Hitendra S. Solanki	262 0.8×	101 0.4×	79 0.7×	51 0.6×	47 0.9×	26	471
Baojia Zou	360 1.2×	290 1.1×	117 1.1×	75 0.9×	44 0.8×	28	570
Tae Young Ryu	382 1.2×	137 0.5×	129 1.2×	41 0.5×	49 0.9×	14	535
Ling-Ling Hsieh	324 1.0×	172 0.7×	199 1.8×	73 0.9×	90 1.6×	25	615
Ling Mao	363 1.2×	307 1.2×	69 0.6×	42 0.5×	72 1.3×	25	592
Li Zhu	269 0.9×	169 0.7×	112 1.0×	64 0.8×	118 2.1×	32	569
Zhirong Jia	310 1.0×	192 0.8×	86 0.8×	61 0.8×	60 1.1×	23	616
Yan Wang	197 0.6×	95 0.4×	102 0.9×	66 0.8×	87 1.6×	31	525
Chen Zou	278 0.9×	219 0.9×	53 0.5×	65 0.8×	52 0.9×	18	457
Zhong Tian	342 1.1×	285 1.1×	82 0.8×	93 1.2×	96 1.7×	29	602

Countries citing papers authored by Weijing Gong

Since Specialization

Citations

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

Fields of papers citing papers by Weijing Gong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijing Gong

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