Lisa Huang

695 total citations
31 papers, 575 citations indexed

About

Lisa Huang is a scholar working on Molecular Biology, Ecology and Oncology. According to data from OpenAlex, Lisa Huang has authored 31 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Ecology and 6 papers in Oncology. Recurrent topics in Lisa Huang's work include Bacteriophages and microbial interactions (7 papers), RNA and protein synthesis mechanisms (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Lisa Huang is often cited by papers focused on Bacteriophages and microbial interactions (7 papers), RNA and protein synthesis mechanisms (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Lisa Huang collaborates with scholars based in United States, China and Canada. Lisa Huang's co-authors include Peixuan Guo, Dan Shu, George Karlin‐Neumann, Judy A. Brusslan, Elaine M. Tobin, Shu-Chen Lyu, Alan M. Krensky, Carol Clayberger, Jason P. Trama and Martin E. Adelson and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Lisa Huang

31 papers receiving 567 citations

Peers

Lisa Huang
Comparison fields: 5 of 91
  • Molecular Biology 421
  • Ecology 128
  • Genetics 56
  • Plant Science 56
  • Surgery 47
Replace Yingyuan Sun with:
Yingyuan Sun United States
Sohail A. Qureshi Pakistan
William Whalen United States
Abdul Qader Abbady Syria
Caroline El Sanadi United States
Kate Roberts Australia
Tamara Sander United States
Luis Miguel Guachalla Germany
Peng He China
Yingyuan Sun United States View profile →
Citations per field, relative to Lisa Huang
Lisa Huang · 1×
Citations per year, relative to Lisa Huang
Lisa Huang · 1×

Countries citing papers authored by Lisa Huang

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Huang. A scholar is included among the top collaborators of Lisa Huang 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 Lisa Huang. Lisa Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 4
4 15
5 1
6 4
7 6
8 9
9 33
10 13
11 36
12 21
13 47
14 23
15 75
16 10
17 23
18 38
19
Biochemical and pharmacological comparison of a cytosolic, high molecular weight phospholipase A2, human synovial fluid phospholipase A2 and CoA-independent transacylase.
12
20 30

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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