Jacqueline Peng

472 total citations · 1 hit paper
10 papers, 211 citations indexed

About

Jacqueline Peng is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Jacqueline Peng has authored 10 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cognitive Neuroscience. Recurrent topics in Jacqueline Peng's work include Biomedical Text Mining and Ontologies (4 papers), Genomics and Rare Diseases (3 papers) and Bioinformatics and Genomic Networks (3 papers). Jacqueline Peng is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Genomics and Rare Diseases (3 papers) and Bioinformatics and Genomic Networks (3 papers). Jacqueline Peng collaborates with scholars based in United States, China and Canada. Jacqueline Peng's co-authors include Marcelo D. T. Torres, Fangping Wan, César de la Fuente‐Núñez, Yunyun Zhou, Kai Wang, Cong Liu, Chunhua Weng, James M. Havrilla, Kai Wang and Lin Gao and has published in prestigious journals such as Blood, Nature Methods and Scientific Reports.

In The Last Decade

Jacqueline Peng

9 papers receiving 207 citations

Hit Papers

Deep-learning-enabled antibiotic discovery through molecu... 2024 2026 2025 2024 20 40 60

Peers

Jacqueline Peng
Comparison fields: 5 of 73
  • Molecular Biology 126
  • Genetics 59
  • Microbiology 34
  • Artificial Intelligence 29
  • Cognitive Neuroscience 26
Wenying He China
Jessica Binder United States
Koji Arikawa Japan
Ho Won Kim South Korea
Nanjiao Ying China
Audald Lloret‐Villas Switzerland
Advait Balaji United States
Frankie James United States
Orna Atar Israel
Chao‐Yu Yang Taiwan
Wenying He China View profile →
Citations per field, relative to Jacqueline Peng
Jacqueline Peng · 1×
Citations per year, relative to Jacqueline Peng
Jacqueline Peng · 1×

Countries citing papers authored by Jacqueline Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Peng

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 0
2
Deep-learning-enabled antibiotic discovery through molecular de-extinction breakdown →
72
3 26
4 1
5 7
6 5
7 7
8 29
9 44
10 20

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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