Siying Ye

39 papers receiving 1.9k citations

Siying Ye's Hit Papers

Long-Distance Delivery of Bacterial Virulence Factors by Pseudomonas aeruginosa Outer Membrane Vesicles 2009 · 483 citations
4830+5+11Years since publication100200300400

Peers

Siying Ye
Comparison fields: 5 of 111
  • Microbiology 353
  • Endocrinology 127
  • Molecular Medicine 122
  • Cellular and Molecular Neuroscience 280
  • Molecular Biology 991
Replace Mona Johannessen with:
Mona Johannessen Norway
Shigeki Kamitani Japan
Christian Schwerk Germany
Santiago Partida‐Sánchez United States
Balázs Rada United States
Ernesto J. Muñoz‐Elías United States
Marion Faigle Germany
Yu‐Hsin Chiu United States
Akiko Shiratsuchi Japan
Siying Ye relative to Mona Johannessen Norway Mona Johannessen's profile →
Citations per field
00.5×1.5×1.8×
Mona Johannessen · 1×
Citations per year

Countries citing papers authored by Siying Ye

Since Specialization
Citations

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

Fields of papers citing papers by Siying Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siying Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siying Ye Line = papers co-authored together Siying Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long-Distance Delivery of Bacterial Virulence Factors by Pseudomonas aeruginosa Outer Membrane Vesicles
Hit paper breakdown →
2009483
2 2004184
3 2003146
4 2008146
5 200799
6 200895
7 200680
8 201670
9 200466
10 201461
11 201348
12 201047
13 201642
14 202140
15 200638
16 200738
17 200434
18 202228
19 200824
20 201023

About Siying Ye

Siying Ye is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (7 papers), Cystic Fibrosis Research Advances (7 papers), Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (4 papers), Bacterial biofilms and quorum sensing (4 papers), Influenza Virus Research Studies (4 papers), interferon and immune responses (3 papers) and Biosensors and Analytical Detection (3 papers). The work is most often cited by research in Microbiology (353 citations), Endocrinology (127 citations), Molecular Medicine (122 citations), Cellular and Molecular Neuroscience (280 citations) and Molecular Biology (991 citations). Siying Ye has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Bruce A. Stanton, Jennifer M. Bomberger, George A. O’Toole, Anthony L. Albiston, Siew Yeen Chai, Daniel P. MacEachran, Bonita Coutermarsh, Ruani Fernando, Grantley R. Peck and John Stambas. Their work appears in journals such as The FASEB Journal, International Journal of Biological Macromolecules, The Journal of Immunology, Molecular Pharmacology and Journal of Biological Chemistry.

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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