Anni Zhang

2.6k citations
27 papers · 1.9k · 1 hit paper · h-index 16

Impact in

Papers in

Anni Zhang

26 papers receiving 1.9k citations

Anni Zhang's Hit Papers

An omics-based framework for assessing the health risk of antimicrobial resistance genes 2021 · 625 citations
6250+1+3Years since publication200400600

Peers

Anni Zhang
Comparison fields: 5 of 104
  • Molecular Medicine 354
  • Pollution 786
  • Applied Microbiology and Biotechnology 59
  • Ecology 493
  • Polymers and Plastics 217
Replace Julie L. Zilles with:
Julie L. Zilles United States
Shuyu Jia China
Ruonan Sun China
Andong Li China
Khashayar Shahin China
Juana Pérez Spain
Xiaoyun Qiu United States
Dan Huang China
Anni Zhang relative to Julie L. Zilles United States Julie L. Zilles's profile →
Citations per field
00.5×8.3×
Julie L. Zilles · 1×
Citations per year

Countries citing papers authored by Anni Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Anni Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anni Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anni Zhang Line = papers co-authored together Anni Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An omics-based framework for assessing the health risk of antimicrobial resistance genes
Hit paper breakdown →
2021625
2 2018258
3 2020191
4 2022163
5 2022162
6 201887
7 201571
8 202151
9 201742
10 201629
11 202025
12 202120
13 201819
14 202317
15 202415
16 202015
17 202314
18 202112
19 201911
20 20189

About Anni Zhang

Anni Zhang is a scholar working on Molecular Biology, Pollution, Molecular Medicine, Ecology and Biomedical Engineering, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Conducting polymers and applications (4 papers), Microbial Community Ecology and Physiology (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Gut microbiota and health (3 papers), Perovskite Materials and Applications (3 papers), Quantum Dots Synthesis And Properties (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Molecular Medicine (354 citations), Pollution (786 citations), Applied Microbiology and Biotechnology (59 citations), Ecology (493 citations) and Polymers and Plastics (217 citations). Anni Zhang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tong Zhang, Xiaole Yin, Li-Guan Li, Michael R. Gillings, James M. Tiedje, Xiaotao Jiang, Shijie Zhao, Eric J. Alm, William P. Hanage and Katya Moniz. Their work appears in journals such as Microbiome, FEMS Microbiology Ecology, The Science of The Total Environment, Frontiers in Plant Science and Frontiers in Bioengineering and Biotechnology.

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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