Fang Du

19 total papers · 409 total citations
11 papers, 227 citations indexed

About

Fang Du is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Fang Du has authored 11 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Oncology. Recurrent topics in Fang Du's work include Systemic Lupus Erythematosus Research (2 papers), Immune Cell Function and Interaction (2 papers) and Genomics and Chromatin Dynamics (2 papers). Fang Du is often cited by papers focused on Systemic Lupus Erythematosus Research (2 papers), Immune Cell Function and Interaction (2 papers) and Genomics and Chromatin Dynamics (2 papers). Fang Du collaborates with scholars based in United States, China and Switzerland. Fang Du's co-authors include Jerard Hurwitz, Inger Tappin, Andrea Farina, Vladimir P. Bermudez, Mandy J. McGeachy, Saikat Majumder, Tatsuro Takahashi, Torahiko L. Higashi, Young‐Hoon Kang and Ulrich Siebenlist and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Immunology and Annals of the Rheumatic Diseases.

In The Last Decade

Fang Du

10 papers receiving 225 citations

Author Peers

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

Author						Papers	Cites
Fang Du	106	92	55	17	15	11	227
Michael T. Peel	118 1.1×	60 0.7×	69 1.3×	23 1.4×	8 0.5×	11	266
James M. Cherry	104 1.0×	144 1.6×	42 0.8×	24 1.4×	28 1.9×	12	282
Dan Duan	165 1.6×	110 1.2×	43 0.8×	17 1.0×	7 0.5×	12	314
Helen Ray-Jones	96 0.9×	72 0.8×	25 0.5×	25 1.5×	8 0.5×	12	196
Bhairavi Swaminathan	127 1.2×	106 1.2×	60 1.1×	15 0.9×	47 3.1×	13	290
Eirik Sundlisæter	100 0.9×	109 1.2×	96 1.7×	10 0.6×	10 0.7×	11	306
Madhura Modak	121 1.1×	141 1.5×	74 1.3×	13 0.8×	15 1.0×	10	300
Jawoon Yi	135 1.3×	113 1.2×	45 0.8×	12 0.7×	12 0.8×	12	317
Gwenaël Le Guyader	225 2.1×	74 0.8×	93 1.7×	39 2.3×	8 0.5×	14	306
Vincent Frontera	175 1.7×	86 0.9×	34 0.6×	33 1.9×	14 0.9×	10	312

Countries citing papers authored by Fang Du

Since Specialization

Citations

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

Fields of papers citing papers by Fang Du

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Du

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