Rurun Wang

666 total citations
8 papers, 439 citations indexed

About

Rurun Wang is a scholar working on Molecular Biology, Pharmacology and Endocrinology. According to data from OpenAlex, Rurun Wang has authored 8 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Endocrinology. Recurrent topics in Rurun Wang's work include Fungal Biology and Applications (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Rurun Wang is often cited by papers focused on Fungal Biology and Applications (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Antibiotic Resistance in Bacteria (2 papers). Rurun Wang collaborates with scholars based in United States, Japan and South Korea. Rurun Wang's co-authors include Grazia Piizzi, Jason M. Crawford, Thomas P. Wyche, Richard A. Flavell, Geoffrey D. Hannigan, Danny A. Bitton, Ondřej Klempíř, David Příhoda, Michael Wurst and Jindřich Soukup and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and ACS Central Science.

In The Last Decade

Rurun Wang

8 papers receiving 434 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rurun Wang United States	7	328	140	50	42	42	8	439
Michael R. M. Ranieri Canada	5	345 1.1×	226 1.6×	90 1.8×	34 0.8×	17 0.4×	6	477
Shradha Khater India	7	190 0.6×	136 1.0×	52 1.0×	21 0.5×	15 0.4×	9	278
Darko Kresovic Germany	9	296 0.9×	131 0.9×	51 1.0×	45 1.1×	31 0.7×	9	478
Maria I. Vizcaino United States	8	392 1.2×	150 1.1×	74 1.5×	75 1.8×	81 1.9×	9	579
Srikannathasan Velupillai United Kingdom	11	374 1.1×	58 0.4×	21 0.4×	21 0.5×	124 3.0×	14	622
Tricia L. May‐Dracka United States	7	206 0.6×	105 0.8×	16 0.3×	20 0.5×	12 0.3×	7	451
C.E.M. Stevenson United Kingdom	12	303 0.9×	52 0.4×	25 0.5×	32 0.8×	27 0.6×	12	481
Nanette L. S. Que United States	13	302 0.9×	63 0.5×	42 0.8×	32 0.8×	45 1.1×	17	570
Aaron J. Peoples United States	9	412 1.3×	213 1.5×	63 1.3×	38 0.9×	7 0.2×	15	592
Emiliana Corti Italy	9	275 0.8×	159 1.1×	54 1.1×	43 1.0×	15 0.4×	12	416

Countries citing papers authored by Rurun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Rurun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rurun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Rurun Wang. A scholar is included among the top collaborators of Rurun Wang 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 Rurun Wang. Rurun Wang 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:

8 of 8 papers shown

1.

York, Autumn G., Rurun Wang, Thomas P. Wyche, et al.. (2022). N‐Acyl Amides from Neisseria meningitidis and Their Role in Sphingosine Receptor Signaling. ChemBioChem. 23(22). e202200490–e202200490. 8 indexed citations

2.

Park, Hyun Bong, Zheng Wei, Joonseok Oh, et al.. (2020). Sulfamethoxazole drug stress upregulates antioxidant immunomodulatory metabolites in Escherichia coli. Nature Microbiology. 5(11). 1319–1329. 31 indexed citations

3.

Kim, Chung Sub, Brenden Barco, Hyun Bong Park, et al.. (2020). Cellular Stress Upregulates Indole Signaling Metabolites in Escherichia coli. Cell chemical biology. 27(6). 698–707.e7. 22 indexed citations

4.

Kim, Chung Sub, Santiago Cuesta, Zheng Wei, et al.. (2020). Characterization of Autoinducer-3 Structure and Biosynthesis in E. coli. ACS Central Science. 6(2). 197–206. 106 indexed citations

5.

Park, Hyun Bong, Joonseok Oh, Jaymin R. Patel, et al.. (2020). Bacterial Autoimmune Drug Metabolism Transforms an Immunomodulator into Structurally and Functionally Divergent Antibiotics. Angewandte Chemie. 132(20). 7945–7954. 3 indexed citations

6.

Park, Hyun Bong, Joonseok Oh, Jaymin R. Patel, et al.. (2020). Bacterial Autoimmune Drug Metabolism Transforms an Immunomodulator into Structurally and Functionally Divergent Antibiotics. Angewandte Chemie International Edition. 59(20). 7871–7880. 18 indexed citations

7.

Hannigan, Geoffrey D., David Příhoda, Jindřich Soukup, et al.. (2019). A deep learning genome-mining strategy for biosynthetic gene cluster prediction. Nucleic Acids Research. 47(18). e110–e110. 196 indexed citations

8.

Pomerantz, William C. K., et al.. (2012). Profiling the Dynamic Interfaces of Fluorinated Transcription Complexes for Ligand Discovery and Characterization. ACS Chemical Biology. 7(8). 1345–1350. 55 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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