Betty Huang

5.6k citations
31 papers · 4.5k indexed · 1 hit paper · h-index 19
Topics
Monoclonal and Polyclonal Antibodies Research (9 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Bacteriophages and microbial interactions (3 papers)

In The Last Decade

Betty Huang

31 papers receiving 4.3k citations

Hit Papers

Suppression subtractive hybridization: a method for gener...1996202620062016199650010001.5k2.0k2.5k

Peers

Betty Huang
Comparison fields: 5 of 136
  • Molecular Biology 2.8k
  • Plant Science 798
  • Immunology 706
  • Cell Biology 514
  • Genetics 495
Replace Alex Chenchik with:
Alex Chenchik United States
Ananth Prakash United Kingdom
Michael Dush United States
Mathias Walzer Germany
Jingwen Bai China
Paul D. Siebert United States
Christian A. Luber Germany
David García‐Seisdedos Spain
Tamar Ziv Israel
Mirita Franz‐Wachtel Germany
Betty Huang relative to Alex Chenchik United States Alex Chenchik's profile →
Citations per field
00.5×1.5×2.0×
Alex Chenchik · 1×
Citations per year

Countries citing papers authored by Betty Huang

Since Specialization
Citations

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

Fields of papers citing papers by Betty Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Betty Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Betty Huang. A scholar is included among the top collaborators of Betty 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 Betty Huang. Betty 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
#WorkIndexed citations
1 3
2 15
3 15
4 1
5 2
6 73
7 22
8 38
9 49
10 51
11 13
12 57
13 99
14 74
15 63
16 118
17 153
18 166
19 24
20 10

About Betty Huang

Betty Huang is a scholar working on Metals and Alloys, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 31 papers that have together received 4.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Immunology (706 citations) and Cell Biology (514 citations). Betty Huang has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Paul D. Siebert, Konstantin A. Lukyanov, A. Patricia Campbell, Sergey Lukyanov, Yun‐Fai Chris Lau, Luda Diatchenko, Alex Chenchik, Е. Д. Свердлов, Nadya G. Gurskaya and Ying Luo. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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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