Dan Fu Ruan

13 total papers · 2.3k total citations
5 papers, 227 citations indexed

About

Dan Fu Ruan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Dan Fu Ruan has authored 5 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 1 paper in Molecular Biology and 1 paper in Oncology. Recurrent topics in Dan Fu Ruan's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and MicroRNA in disease regulation (1 paper). Dan Fu Ruan is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and MicroRNA in disease regulation (1 paper). Dan Fu Ruan collaborates with scholars based in United States, India and France. Dan Fu Ruan's co-authors include Amir Horowitz, Sjoerd H. van der Burg, Pascale André, Émilie Narni-Mancinelli, Robert Zerbib, Thorbald van Hall, Éric Vivier, William F. Forrest, Christian Hammer and Laure‐Alix Clerbaux and has published in prestigious journals such as Blood, PLoS Computational Biology and Developmental Dynamics.

In The Last Decade

Dan Fu Ruan

5 papers receiving 223 citations

Author Peers

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

Author						Papers	Cites
Dan Fu Ruan	177	138	29	19	14	5	227
Natalie J. Neubert	151 0.9×	113 0.8×	56 1.9×	15 0.8×	14 1.0×	6	223
Elisavet Ntavli	201 1.1×	73 0.5×	41 1.4×	9 0.5×	7 0.5×	6	296
Bernard Wen	147 0.8×	110 0.8×	52 1.8×	8 0.4×	9 0.6×	6	261
Anselm Fliedner	159 0.9×	113 0.8×	21 0.7×	7 0.4×	6 0.4×	5	257
H R Noel	129 0.7×	93 0.7×	26 0.9×	8 0.4×	5 0.4×	5	206
Samantha Motley	239 1.4×	54 0.4×	35 1.2×	13 0.7×	10 0.7×	5	305
Olga Halle	205 1.2×	104 0.8×	86 3.0×	23 1.2×	29 2.1×	6	306
Paul J. Collins	217 1.2×	153 1.1×	62 2.1×	9 0.5×	23 1.6×	8	316
Nicklas Nilsson	213 1.2×	48 0.3×	28 1.0×	17 0.9×	7 0.5×	6	321
Quentin Verron	233 1.3×	145 1.1×	54 1.9×	8 0.4×	10 0.7×	6	305

Countries citing papers authored by Dan Fu Ruan

Since Specialization

Citations

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

Fields of papers citing papers by Dan Fu Ruan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan Fu Ruan. 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 Dan Fu Ruan. The network helps show where Dan Fu Ruan may publish in the future.

Co-authorship network of co-authors of Dan Fu Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Fu Ruan. A scholar is included among the top collaborators of Dan Fu Ruan 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 Dan Fu Ruan. Dan Fu Ruan 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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