Gary Guo

696 total citations
10 papers, 554 citations indexed

About

Gary Guo is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Gary Guo has authored 10 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Oncology. Recurrent topics in Gary Guo's work include Cytokine Signaling Pathways and Interactions (3 papers), interferon and immune responses (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Gary Guo is often cited by papers focused on Cytokine Signaling Pathways and Interactions (3 papers), interferon and immune responses (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Gary Guo collaborates with scholars based in United States and China. Gary Guo's co-authors include Pravin B. Sehgal, Joseph D. Etlinger, Kirit Patel, Mehul Shah, Victor A. Fried, MacKevin Ndubuisi, Min Gu, Fang Xu, Somshuvra Mukhopadhyay and R. M. Goldberg and has published in prestigious journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics and Metabolic Engineering.

In The Last Decade

Gary Guo

9 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary Guo United States	8	325	204	164	153	44	10	554
Mariangela Correa Brazil	10	336 1.0×	134 0.7×	246 1.5×	54 0.4×	63 1.4×	18	649
Urmi Dhagat Australia	14	203 0.6×	122 0.6×	268 1.6×	130 0.8×	37 0.8×	27	697
Kotohiko Kimura Japan	13	452 1.4×	161 0.8×	134 0.8×	86 0.6×	121 2.8×	22	677
Sarah J. Turner United Kingdom	7	304 0.9×	144 0.7×	123 0.8×	64 0.4×	61 1.4×	12	529
Sonia Pacini Italy	8	399 1.2×	75 0.4×	209 1.3×	113 0.7×	54 1.2×	9	617
Lutz Thon Germany	7	349 1.1×	177 0.9×	188 1.1×	43 0.3×	79 1.8×	10	585
Breda M. Twomey United Kingdom	14	382 1.2×	127 0.6×	277 1.7×	59 0.4×	24 0.5×	22	688
Shikha Sharan United States	12	409 1.3×	225 1.1×	136 0.8×	78 0.5×	149 3.4×	16	665
Claudia Mueller Germany	10	284 0.9×	144 0.7×	57 0.3×	130 0.8×	55 1.3×	15	545
Minghao Zhong United States	9	244 0.8×	246 1.2×	182 1.1×	47 0.3×	55 1.3×	23	499

Countries citing papers authored by Gary Guo

Since Specialization

Citations

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

Fields of papers citing papers by Gary Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary Guo

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

10 of 10 papers shown

Chen, Huibin, et al.. (2025). Designing a microbial factory suited for plant chloroplast-derived enzymes to efficiently and green synthesize natural products: Capsanthin and capsorubin as examples. Metabolic Engineering. 88. 215–227.

Li, Huawei, Xiaowei Li, Yu Huang, Ying Wang, & Gary Guo. (2021). Special Session - Test for AI Chips: from DFT to On-line Testing. 1–1. 1 indexed citations

Nabors, Christopher, Stephen J. Peterson, Wilbert S. Aronow, et al.. (2013). Mobile Physician Reporting of Clinically Significant Events—A Novel Way to Improve Handoff Communication and Supervision of Resident on Call Activities. Journal of Patient Safety. 10(4). 211–217. 10 indexed citations

Shah, Mehul, Kirit Patel, Somshuvra Mukhopadhyay, et al.. (2006). Membrane-associated STAT3 and PY-STAT3 in the Cytoplasm. Journal of Biological Chemistry. 281(11). 7302–7308. 60 indexed citations

Sehgal, Pravin B., et al.. (2003). Different patterns of regulation of Tyr-phosphorylated STAT1 and STAT3 in human hepatoma Hep3B cells by the phosphatase inhibitor orthovanadate. Archives of Biochemistry and Biophysics. 412(2). 242–250. 8 indexed citations

Guo, Gary, Kirit Patel, Mehul Shah, et al.. (2002). Association of the Chaperone Glucose-Regulated Protein 58 (GRP58/ER-60/ERp57) with Stat3 in Cytosol and Plasma Membrane Complexes. Journal of Interferon & Cytokine Research. 22(5). 555–563. 82 indexed citations

Sehgal, Pravin B., et al.. (2002). Cytokine Signaling. Journal of Biological Chemistry. 277(14). 12067–12074. 157 indexed citations

Ndubuisi, MacKevin, Gary Guo, Victor A. Fried, Joseph D. Etlinger, & Pravin B. Sehgal. (1999). Cellular Physiology of STAT3: Where's the Cytoplasmic Monomer?. Journal of Biological Chemistry. 274(36). 25499–25509. 150 indexed citations

Guo, Gary, Min Gu, & Joseph D. Etlinger. (1994). 240-kDa proteasome inhibitor (CF-2) is identical to delta-aminolevulinic acid dehydratase.. Journal of Biological Chemistry. 269(17). 12399–12402. 71 indexed citations

10.

Etlinger, Joseph D., et al.. (1993). Phosphorylation and Ubiquitination of the 26S Proteasome Complex. PubMed. 47(4-6). 325–329. 15 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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