World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
14553
World Ranking
7020
National Ranking
3076

Overview

Helen J. Wang is a researcher affiliated with Microsoft in the United States. Their work spans several interconnected fields within biology, with a focus on molecular and microbiological studies.

Their main fields of study include:

  • Biochemistry, Genetics and Molecular Biology
  • Immunology and Microbiology

Within these fields, the subfields Helen J. Wang has contributed to are:

  • Endocrinology
  • Immunology

Their research topics involve detailed investigations related to bacterial species and aquatic environments, specifically:

  • Vibrio bacteria research studies
  • Escherichia coli research studies
  • Aquaculture disease management and microbiota

Helen J. Wang has collaborated with several co-authors, including:

  • Nguyen T. Q. Nhu
  • John S. Lee
  • Y. Dufour

Their work has appeared in scientific venues such as the Journal of Bacteriology, indicating contributions to bacterial research and related microbiological topics.

Among their recent publications is:

  • "Alkaline pH Increases Swimming Speed and Facilitates Mucus Penetration for Vibrio cholerae," published in 2021 in the Journal of Bacteriology

This publication reflects study into the behavior and environmental adaptations of pathogenic bacteria, particularly Vibrio cholerae. The research explored how alkaline pH influences bacterial motility and interaction with mucus, factors relevant to bacterial colonization and infection processes.

Best Publications

  • Distributing streaming media content using cooperative networking

    Venkata N. Padmanabhan;Helen J. Wang;Philip A. Chou;Kunwadee Sripanidkulchai

  • Online aggregation

    Joseph M. Hellerstein;Peter J. Haas;Helen J. Wang

  • SecondNet: a data center network virtualization architecture with bandwidth guarantees

    Chuanxiong Guo;Guohan Lu;Helen J. Wang;Shuang Yang

  • Permission re-delegation: attacks and defenses

    Adrienne Porter Felt;Helen J. Wang;Alexander Moshchuk;Steven Hanna

  • Policy-enabled handoffs across heterogeneous wireless networks

    H.J. Wang;R.H. Katz;J. Giese

  • BrowserShield: Vulnerability-driven filtering of dynamic HTML

    Charles Reis;John Dunagan;Helen J. Wang;Opher Dubrovsky

  • SubVirt: implementing malware with virtual machines

    S.T. King;P.M. Chen

  • Resilient peer-to-peer streaming

    V.N. Padmanabhan;H.J. Wang;P.A. Chou

  • Discoverer: automatic protocol reverse engineering from network traces

    Weidong Cui;Jayanthkumar Kannan;Helen J. Wang

  • Strider: a black-box, state-based approach to change and configuration management and support

    Yi-Min Wang;Chad Verbowski;John Dunagan;Yu Chen

  • Shield: vulnerability-driven network filters for preventing known vulnerability exploits

    Helen J. Wang;Chuanxiong Guo;Daniel R. Simon;Alf Zugenmaier

  • An evaluation of scalable application-level multicast built using peer-to-peer overlays

    M. Castro;M. B. Jones;A.-M. Kermarrec;A. Rowstron

  • Enabling security in cloud storage SLAs with CloudProof

    Raluca Ada Popa;Jacob R. Lorch;David Molnar;Helen J. Wang

  • Automatic misconfiguration troubleshooting with peerpressure

    Helen J. Wang;John C. Platt;Yu Chen;Ruyun Zhang

  • User-Driven Access Control: Rethinking Permission Granting in Modern Operating Systems

    F. Roesner;T. Kohno;A. Moshchuk;B. Parno

  • Tupni: automatic reverse engineering of input formats

    Weidong Cui;Marcus Peinado;Karl Chen;Helen J. Wang

  • Server-based inference of Internet link lossiness

    V.N. Padmanabhan;L. Qiu;H.J. Wang

  • Preserving location privacy in wireless lans

    Tao Jiang;Helen J. Wang;Yih-Chun Hu

  • The multi-principal OS construction of the gazelle web browser

    Helen J. Wang;Chris Grier;Alexander Moshchuk;Samuel T. King

  • ICEBERG: an Internet core network architecture for integrated communications

    H.J. Wang;B. Raman;Chen-Nee Chuah;R. Biswas

Frequent Co-Authors

Daniel R. Simon
Daniel R. Simon Microsoft (United States)
John Dunagan
John Dunagan Microsoft (United States)
Yi-Min Wang
Yi-Min Wang Microsoft (United States)
David Molnar
David Molnar Microsoft (United States)
Randy H. Katz
Randy H. Katz University of California, Berkeley
Venkata N. Padmanabhan
Venkata N. Padmanabhan Microsoft (United States)
Eyal Ofek
Eyal Ofek Microsoft (United States)
Tadayoshi Kohno
Tadayoshi Kohno University of Washington
Anthony D. Joseph
Anthony D. Joseph University of California, Berkeley

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science pathways doesn’t have to mean a long or expensive commitment. Today, many students choose the quickest cheapest masters degree options to fast-track their credentials and minimize costs. These programs allow professionals to advance their careers while balancing work and other commitments.

Demand for technology talent is high. According to recent research, the most in demand masters degrees often include computer science, data analytics, and cybersecurity. Earning one of these degrees can open doors to lucrative and stable tech positions.

For those just starting, an associate's degree online also offers a practical entry point into the tech sector. These flexible two-year programs can boost employability or set you up to transfer into a bachelor’s degree later.

Finally, choosing one of the affordable online degree programs can help reduce student debt and make a quality education accessible to more people. No matter your career stage, there’s a flexible, affordable study option available.

Best Scientists Citing Helen J. Wang

Trending Scientists

Recently Published Articles