Xiang-Dong Ji

2.1k total citations · 1 hit paper
5 papers, 1.8k citations indexed

About

Xiang-Dong Ji is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiang-Dong Ji has authored 5 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiang-Dong Ji's work include HER2/EGFR in Cancer Research (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Xiang-Dong Ji is often cited by papers focused on HER2/EGFR in Cancer Research (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Xiang-Dong Ji collaborates with scholars based in United States, Belgium and United Kingdom. Xiang-Dong Ji's co-authors include Webster K. Cavenee, Ryo Nishikawa, Gordon N. Gill, Hongyi Huang, R. Christopher Harmon, Cheri S. Lazar, Motoo Nagane, Hong Lin, H Wiley and Chun‐Ming Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Histochemistry & Cytochemistry.

In The Last Decade

Xiang-Dong Ji

5 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A mutant epidermal growth factor receptor common in human glioma confers enhanced tumorigenicity.

1994 748 citations Ryo Nishikawa, Xiang-Dong Ji et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiang-Dong Ji United States	5	1.0k	754	450	344	298	5	1.8k
H-J. Su Huang United States	8	591 0.6×	546 0.7×	327 0.7×	177 0.5×	192 0.6×	8	1.1k
Klaus Edvardsen Denmark	24	781 0.8×	419 0.6×	347 0.8×	282 0.8×	111 0.4×	40	1.6k
Noriaki Sugawa Japan	8	544 0.5×	470 0.6×	331 0.7×	195 0.6×	187 0.6×	13	1.1k
Nathalie Baeza France	17	1.2k 1.1×	431 0.6×	887 2.0×	561 1.6×	101 0.3×	28	2.2k
Márcia Regina Machein Germany	22	926 0.9×	430 0.6×	494 1.1×	632 1.8×	133 0.4×	28	1.6k
Christine Toulas France	29	1.3k 1.2×	561 0.7×	462 1.0×	669 1.9×	106 0.4×	59	2.0k
Samuel R. Perry Australia	13	871 0.8×	628 0.8×	345 0.8×	359 1.0×	297 1.0×	16	1.6k
David Tran United States	20	528 0.5×	485 0.6×	568 1.3×	255 0.7×	153 0.5×	39	1.4k
Regina Fillbrandt Germany	13	807 0.8×	294 0.4×	499 1.1×	440 1.3×	95 0.3×	15	1.4k
D D Bigner United States	19	461 0.4×	399 0.5×	423 0.9×	136 0.4×	412 1.4×	24	1.3k

Countries citing papers authored by Xiang-Dong Ji

Since Specialization

Citations

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

Fields of papers citing papers by Xiang-Dong Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang-Dong Ji

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Mishima, Kazuhiko, Terrance G. Johns, Rodney B. Luwor, et al.. (2001). Growth suppression of intracranial xenografted glioblastomas overexpressing mutant epidermal growth factor receptors by systemic administration of monoclonal antibody (mAb) 806, a novel monoclonal antibody directed to the receptor.. PubMed. 61(14). 5349–54. 174 indexed citations

2.

Wu, Chun, Elizabeth Yoder, Jean C. Shih, et al.. (1998). Development and Characterization of Monoclonal Antibodies Specific to the Serotonin 5-HT_2A Receptor. Journal of Histochemistry & Cytochemistry. 46(7). 811–824. 61 indexed citations

3.

Huang, Hongyi, Motoo Nagane, Hong Lin, et al.. (1997). The Enhanced Tumorigenic Activity of a Mutant Epidermal Growth Factor Receptor Common in Human Cancers Is Mediated by Threshold Levels of Constitutive Tyrosine Phosphorylation and Unattenuated Signaling. Journal of Biological Chemistry. 272(5). 2927–2935. 492 indexed citations

4.

Cheng, Shi‐Yuan, Hui Huang, Motoo Nagane, et al.. (1996). Suppression of glioblastoma angiogenicity and tumorigenicity by inhibition of endogenous expression of vascular endothelial growth factor.. Proceedings of the National Academy of Sciences. 93(16). 8502–8507. 291 indexed citations

5.

Nishikawa, Ryo, Xiang-Dong Ji, R. Christopher Harmon, et al.. (1994). A mutant epidermal growth factor receptor common in human glioma confers enhanced tumorigenicity.. Proceedings of the National Academy of Sciences. 91(16). 7727–7731. 748 indexed citations breakdown →

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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