Ji-de Hua

491 total citations
2 papers, 391 citations indexed

About

Ji-de Hua is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Ji-de Hua has authored 2 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Radiology, Nuclear Medicine and Imaging and 1 paper in Genetics. Recurrent topics in Ji-de Hua's work include RNA modifications and cancer (1 paper), Virus-based gene therapy research (1 paper) and Cancer-related molecular mechanisms research (1 paper). Ji-de Hua is often cited by papers focused on RNA modifications and cancer (1 paper), Virus-based gene therapy research (1 paper) and Cancer-related molecular mechanisms research (1 paper). Ji-de Hua collaborates with scholars based in China. Ji-de Hua's co-authors include Xuchao Xue, Kangkang Zhi, Luming Zheng, Guoen Fang, Yang Feng, Jianwei Bi, Lin Fang, Zhe Li and Wei Pan and has published in prestigious journals such as FEBS Journal and Zhonghua shiyan waike zazhi.

In The Last Decade

Ji-de Hua

2 papers receiving 385 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ji-de Hua China	2	361	344	63	29	10	2	391
YJ Geng Italy	3	342 0.9×	336 1.0×	30 0.5×	19 0.7×	6 0.6×	5	380
G-Y Wang China	5	407 1.1×	375 1.1×	44 0.7×	22 0.8×	7 0.7×	7	449
Wei-zhao Peng China	4	306 0.8×	313 0.9×	20 0.3×	21 0.7×	16 1.6×	6	348
Zuoyang Zhang China	6	270 0.7×	297 0.9×	30 0.5×	16 0.6×	23 2.3×	8	346
Pui Yan Yeung Hong Kong	4	296 0.8×	316 0.9×	28 0.4×	16 0.6×	8 0.8×	4	362
Jiazhuan Mei China	8	258 0.7×	260 0.8×	20 0.3×	18 0.6×	25 2.5×	19	325
Mikel Galduroz Belgium	2	148 0.4×	176 0.5×	38 0.6×	17 0.6×	18 1.8×	2	219
Weiqin Wu China	4	573 1.6×	577 1.7×	55 0.9×	37 1.3×	33 3.3×	6	639
Pratirodh Koirala China	7	368 1.0×	426 1.2×	35 0.6×	7 0.2×	18 1.8×	7	493

Countries citing papers authored by Ji-de Hua

Since Specialization

Citations

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

Fields of papers citing papers by Ji-de Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-de Hua. 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 Ji-de Hua. The network helps show where Ji-de Hua may publish in the future.

Co-authorship network of co-authors of Ji-de Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Ji-de Hua. A scholar is included among the top collaborators of Ji-de Hua 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 Ji-de Hua. Ji-de Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Feng, Yang, Jianwei Bi, Xuchao Xue, et al.. (2012). Up‐regulated long non‐coding RNA H19 contributes to proliferation of gastric cancer cells. FEBS Journal. 279(17). 3159–3165. 390 indexed citations

2.

Li, Zhe, et al.. (2005). The experimental studies of a novel hENDO-VEGI_ (151) fusion gene therapy on gastric carcinoma in nude mice mediated by adenovirus vector. Zhonghua shiyan waike zazhi. 22(2). 230–234. 1 indexed citations

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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