Ding Huang

116 total papers · 758 total citations
56 papers, 575 citations indexed

About

Ding Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ding Huang has authored 56 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Molecular Biology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ding Huang's work include Hormonal Regulation and Hypertension (9 papers), Eicosanoids and Hypertension Pharmacology (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Ding Huang is often cited by papers focused on Hormonal Regulation and Hypertension (9 papers), Eicosanoids and Hypertension Pharmacology (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers). Ding Huang collaborates with scholars based in China, United Kingdom and Japan. Ding Huang's co-authors include Zhen-Yan Fu, Xiang Xie, Xiang Ma, Bang‐Dang Chen, Xiao‐Mei Li, Yi‐Ning Yang, Yi-Tong Ma, Fen Liu, Yitong Ma and Wenhai Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Ding Huang

48 papers receiving 569 citations

Author Peers

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

Author						Papers	Cites
Ding Huang	151	124	98	87	71	56	575
Qiuyan Li	80 0.5×	162 1.3×	81 0.8×	69 0.8×	5 0.1×	63	670
Yipu Chen	39 0.3×	142 1.1×	80 0.8×	66 0.8×	8 0.1×	63	680
Tingting Lu	58 0.4×	267 2.2×	26 0.3×	64 0.7×	12 0.2×	51	694
Xia Gao	53 0.4×	298 2.4×	65 0.7×	40 0.5×	20 0.3×	49	639
Tsutomu Yamada	44 0.3×	132 1.1×	122 1.2×	157 1.8×	7 0.1×	78	682
Jin Taek Kim	89 0.6×	79 0.6×	24 0.2×	105 1.2×	10 0.1×	46	573
Guangrong Wang	25 0.2×	145 1.2×	101 1.0×	36 0.4×	23 0.3×	25	524
Yifeng Zhang	122 0.8×	193 1.6×	14 0.1×	148 1.7×	11 0.2×	34	628
Xin Zhang	63 0.4×	146 1.2×	24 0.2×	170 2.0×	32 0.5×	53	587
Xiaohui Huang	50 0.3×	288 2.3×	116 1.2×	72 0.8×	10 0.1×	34	686

Countries citing papers authored by Ding Huang

Since Specialization

Citations

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

Fields of papers citing papers by Ding Huang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Huang

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