Xin-Xing Gu

599 total citations
8 papers, 522 citations indexed

About

Xin-Xing Gu is a scholar working on Epidemiology, Microbiology and Immunology. According to data from OpenAlex, Xin-Xing Gu has authored 8 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Microbiology and 3 papers in Immunology. Recurrent topics in Xin-Xing Gu's work include Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (4 papers) and interferon and immune responses (2 papers). Xin-Xing Gu is often cited by papers focused on Pneumonia and Respiratory Infections (6 papers), Bacterial Infections and Vaccines (4 papers) and interferon and immune responses (2 papers). Xin-Xing Gu collaborates with scholars based in United States, Pakistan and Thailand. Xin-Xing Gu's co-authors include Timothy F. Murphy, Jiandong Li, David Lim, Jiahuai Han, Tsuyoshi Shuto, Hirofumi Kai, Beinan Wang, Haidong Xu, Hirofumi Jono and Carol Basbaum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Infection and Immunity.

In The Last Decade

Xin-Xing Gu

8 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin-Xing Gu United States	8	205	187	185	127	105	8	522
John G. Rino United States	10	242 1.2×	169 0.9×	305 1.6×	109 0.9×	183 1.7×	10	707
C. Nguyen South Korea	8	124 0.6×	45 0.2×	161 0.9×	87 0.7×	38 0.4×	14	416
Hsiang-I Liao United States	7	91 0.4×	116 0.6×	107 0.6×	155 1.2×	43 0.4×	7	422
Marta Brant Sweden	13	228 1.1×	212 1.1×	112 0.6×	164 1.3×	65 0.6×	18	553
Louise A. Duits Netherlands	5	75 0.4×	258 1.4×	212 1.1×	134 1.1×	38 0.4×	6	452
Federica Poggiali Italy	11	147 0.7×	39 0.2×	46 0.2×	139 1.1×	68 0.6×	12	412
Frantisek Sandor Slovakia	8	174 0.8×	60 0.3×	307 1.7×	114 0.9×	36 0.3×	14	566
Jennifer Bohling Germany	10	153 0.7×	43 0.2×	217 1.2×	120 0.9×	126 1.2×	13	467
Katherine Omueti Ayoade United States	6	171 0.8×	86 0.5×	363 2.0×	63 0.5×	22 0.2×	12	505
Jesús Colino United States	13	171 0.8×	79 0.4×	347 1.9×	206 1.6×	18 0.2×	26	591

Countries citing papers authored by Xin-Xing Gu

Since Specialization

Citations

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

Fields of papers citing papers by Xin-Xing Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin-Xing Gu. 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 Xin-Xing Gu. The network helps show where Xin-Xing Gu may publish in the future.

Co-authorship network of co-authors of Xin-Xing Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Xin-Xing Gu. A scholar is included among the top collaborators of Xin-Xing Gu 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 Xin-Xing Gu. Xin-Xing Gu 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

Lee, Lucia, Xin-Xing Gu, & Moon H. Nahm. (2014). Towards New Broader Spectrum Pneumococcal Vaccines: The Future of Pneumococcal Disease Prevention. Vaccines. 2(1). 112–128. 24 indexed citations

Ren, Dabin, Kevin L. Nelson, Peter Uchakin, et al.. (2012). Characterization of extended co-culture of non-typeable Haemophilus influenzae with primary human respiratory tissues. Experimental Biology and Medicine. 237(5). 540–547. 38 indexed citations

Ren, Dabin, Shengqing Yu, Daxin Peng, et al.. (2011). Mutant lipooligosaccharide-based conjugate vaccine demonstrates a broad-spectrum effectiveness against Moraxella catarrhalis. Vaccine. 29(25). 4210–4217. 17 indexed citations

Chen, Ran, Jae Hyang Lim, Hirofumi Jono, et al.. (2004). Nontypeable Haemophilus influenzae lipoprotein P6 induces MUC5AC mucin transcription via TLR2–TAK1-dependent p38 MAPK-AP1 and IKKβ-IκBα-NF-κB signaling pathways. Biochemical and Biophysical Research Communications. 324(3). 1087–1094. 111 indexed citations

Hou, Yingchun, et al.. (2002). A new intra-NALT route elicits mucosal and systemic immunity against Moraxella catarrhalis in a mouse challenge model. Vaccine. 20(17-18). 2375–2381. 25 indexed citations

Shuto, Tsuyoshi, Haidong Xu, Beinan Wang, et al.. (2001). Activation of NF-κB by nontypeable Hemophilus influenzae is mediated by toll-like receptor 2-TAK1-dependent NIK–IKKα/β–IκBα and MKK3/6–p38 MAP kinase signaling pathways in epithelial cells. Proceedings of the National Academy of Sciences. 98(15). 8774–8779. 232 indexed citations

Gu, Xin-Xing, et al.. (1999). Identification of Common Lipooligosaccharide Types in Isolates from Patients with Otitis Media by Monoclonal Antibodies against NontypeableHaemophilus influenzae9274. Clinical and Diagnostic Laboratory Immunology. 6(1). 96–100. 11 indexed citations

Gu, Xin-Xing, Jing Chen, Stephen J. Barenkamp, et al.. (1998). Synthesis and Characterization of Lipooligosaccharide-Based Conjugates as Vaccine Candidates for Moraxella ( Branhamella ) catarrhalis. Infection and Immunity. 66(5). 1891–1897. 64 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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