Ge Wu

1.0k total citations · 1 hit paper
9 papers, 810 citations indexed

About

Ge Wu is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ge Wu has authored 9 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Ge Wu's work include Receptor Mechanisms and Signaling (3 papers), Ion channel regulation and function (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Ge Wu is often cited by papers focused on Receptor Mechanisms and Signaling (3 papers), Ion channel regulation and function (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Ge Wu collaborates with scholars based in United States and China. Ge Wu's co-authors include Stephen K. Doberstein, Elizabeth Bosch, Thomas Linnemann, Ernestine Lee, Aileen J. Zhou, Robert Halenbeck, Kevin Hestir, Cindy Leo, Lewis T. Williams and Keting Chu and has published in prestigious journals such as Science, Biochemistry and Drug Discovery Today.

In The Last Decade

Ge Wu

9 papers receiving 787 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.

Discovery of a Cytokine and Its Receptor by Functional Screening of the Extracellular Proteome

2008 615 citations Haishan Lin, Ernestine Lee et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ge Wu United States	7	433	294	143	124	51	9	810
Dirk Behrens Germany	7	463 1.1×	236 0.8×	138 1.0×	124 1.0×	19 0.4×	13	757
Virendra K. Chaudhri United States	9	387 0.9×	415 1.4×	91 0.6×	24 0.2×	23 0.5×	11	815
Daniela Murtas Italy	18	250 0.6×	325 1.1×	313 2.2×	19 0.2×	39 0.8×	38	855
Aibo Wang United States	11	790 1.8×	342 1.2×	260 1.8×	18 0.1×	54 1.1×	11	1.1k
Cheryl Li United States	11	168 0.4×	383 1.3×	189 1.3×	74 0.6×	66 1.3×	23	838
Joseph R. Woska United States	15	318 0.7×	309 1.1×	88 0.6×	15 0.1×	58 1.1×	19	719
Xiaohan Chen China	13	592 1.4×	254 0.9×	199 1.4×	80 0.6×	12 0.2×	22	944
Nader Omidvar United Kingdom	13	290 0.7×	487 1.7×	220 1.5×	33 0.3×	20 0.4×	18	946
Rongze Lu United States	15	353 0.8×	373 1.3×	380 2.7×	47 0.4×	33 0.6×	21	965
Martin Klemke Germany	14	365 0.8×	521 1.8×	164 1.1×	27 0.2×	29 0.6×	15	1.1k

Countries citing papers authored by Ge Wu

Since Specialization

Citations

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

Fields of papers citing papers by Ge Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Wu

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

9 of 9 papers shown

1.

Li, Guosheng, Xueming Dong, Xing Fan, et al.. (2018). Evaluation of coal‐related model compounds using tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 32(16). 1462–1472. 10 indexed citations

2.

Wu, Ge, et al.. (2014). Rule-Based Preordering on Multiple Syntactic Levels in Statistical Machine Translation. KITopen. 1 indexed citations

3.

Lin, Haishan, Ernestine Lee, Kevin Hestir, et al.. (2008). Discovery of a Cytokine and Its Receptor by Functional Screening of the Extracellular Proteome. Science. 320(5877). 807–811. 615 indexed citations breakdown →

4.

Lin, Haishan, Cindy Leo, May Ji, et al.. (2007). 87 Regulation of Myeloid Growth and Differentiation by a Novel Cytokine, Interleukin-34 (IL-34), via the CSF-1 Receptor. Cytokine. 39(1). 24–24. 3 indexed citations

5.

Wu, Ge & Stephen K. Doberstein. (2006). HTS technologies in biopharmaceutical discovery. Drug Discovery Today. 11(15-16). 718–724. 38 indexed citations

6.

Wu, Ge, Yue Yuan, & C. Nicholas Hodge. (2003). Determining Appropriate Substrate Conversion for Enzymatic Assays in High-Throughput Screening. SLAS DISCOVERY. 8(6). 694–700. 59 indexed citations

7.

Wu, Ge & Keith Miller. (1994). Ethanol Enhances Agonist-Induced Fast Desensitization in Nicotinic Acetylcholine Receptors. Biochemistry. 33(31). 9085–9091. 15 indexed citations

8.

Wu, Ge, Douglas E. Raines, & Keith Miller. (1994). A Hydrophobic Inhibitor of the Nicotinic Acetylcholine Receptor Acts on the Resting State. Biochemistry. 33(51). 15375–15381. 16 indexed citations

9.

Wu, Ge & Wayne L. Hubbell. (1993). Phospholipid asymmetry and transmembrane diffusion in photoreceptor disk membranes. Biochemistry. 32(3). 879–888. 53 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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