Anna Tang

3.0k total citations · 1 hit paper
22 papers, 1.2k citations indexed

About

Anna Tang is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Anna Tang has authored 22 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Plant Science and 3 papers in Cell Biology. Recurrent topics in Anna Tang's work include Plant Disease Management Techniques (5 papers), Plant tissue culture and regeneration (4 papers) and Plant Molecular Biology Research (3 papers). Anna Tang is often cited by papers focused on Plant Disease Management Techniques (5 papers), Plant tissue culture and regeneration (4 papers) and Plant Molecular Biology Research (3 papers). Anna Tang collaborates with scholars based in United States, Canada and Israel. Anna Tang's co-authors include Philip L. De Jager, David A. Bennett, Julie A. Schneider, Cristin McCabe, Jishu Xu, Lori B. Chibnik, Selina Imboywa, Sara Mostafavi, Hans‐Ulrich Klein and Reisa A. Sperling and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Neuroscience and ACS Sustainable Chemistry & Engineering.

In The Last Decade

Anna Tang

20 papers receiving 1.1k citations

Hit Papers

CD33 Alzheimer's disease locus: altered monocyte function... 2013 2026 2017 2021 2013 100 200 300 400

Peers

Anna Tang
Comparison fields: 5 of 92
  • Molecular Biology 551
  • Physiology 488
  • Neurology 359
  • Plant Science 161
  • Genetics 135
Replace Daniel Ness with:
Daniel Ness United States
Ling‐Yan Su China
Rongcan Luo China
Anil Rana India
Seiji Watanabe Japan
Edgardo Dimayuga United States
Yuri Mizuno Japan
Armand Savioz Switzerland
Fiona Kerr United Kingdom
Sebastian Boland United States
Daniel Ness United States View profile →
Citations per field, relative to Anna Tang
Anna Tang · 1×
Citations per year, relative to Anna Tang
Anna Tang · 1×

Countries citing papers authored by Anna Tang

Since Specialization
Citations

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

Fields of papers citing papers by Anna Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Tang. A scholar is included among the top collaborators of Anna Tang 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 Anna Tang. Anna Tang 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 0
2 0
3 12
4
lncRNA GAS5/miR-452-5p Reduces Oxidative Stress and Pyroptosis of High-Glucose-Stimulated Renal Tubular Cells
2
5 5
6 283
7 173
8 1
9 62
10 3
11 8
12 6
13 9
14 2
15 8
16
CD33 Alzheimer's disease locus: altered monocyte function and amyloid biology breakdown →
439
17 57
18 1
19 55
20 6

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026