Ying Zhang

16.9k citations
293 papers · 12.1k indexed · 4 hit papers · h-index 54

Impact in

Papers in

Ying Zhang

280 papers receiving 11.7k citations

Hit Papers

Bacterial persisters: molecular mechanisms and therapeutic development 2024 · 97 citations
971992202620032014250500750

Peers

Ying Zhang
Comparison fields: 5 of 168
  • Infectious Diseases 6.8k
  • Molecular Medicine 1.4k
  • Epidemiology 5.4k
  • Parasitology 601
  • Endocrinology 384
Replace David R. Sherman with:
David R. Sherman United States
Laurent Kremer France
Michael McNeil United States
Sabine Ehrt United States
John D. McKinney United States
Dirk Schnappinger United States
Eric J. Rubin United States
William R. Bishai United States
Christopher M. Sassetti United States
Françoise Portaels Belgium
Ying Zhang relative to David R. Sherman United States David R. Sherman's profile →
Citations per field
00.5×3.5×
David R. Sherman · 1×
Citations per year

Countries citing papers authored by Ying Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ying Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ying 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 Ying Zhang Line = papers co-authored together Ying Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20251
4 20246
5 20240
6 20244
7 20243
8 20233
9 202211
10 20212
11 20215
12 202016
13 201818
14 201828
15 201829
16 201727
17 201529
18 2013225
19
Pyrazinamide Inhibits Trans-Translation in Mycobacterium tuberculosis
Hit paper breakdown →
2011392
20 200913

About Ying Zhang

Ying Zhang is a scholar working on Infectious Diseases, Molecular Medicine, Parasitology, Epidemiology and Endocrinology, having authored 293 papers that have together received 12.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (126 papers), Mycobacterium research and diagnosis (95 papers), Antibiotic Resistance in Bacteria (31 papers), Cancer therapeutics and mechanisms (26 papers), Antimicrobial Resistance in Staphylococcus (22 papers), Pneumocystis jirovecii pneumonia detection and treatment (20 papers), Vector-borne infectious diseases (19 papers) and Bacterial Genetics and Biotechnology (18 papers). The work is most often cited by research in Infectious Diseases (6.8k citations), Molecular Medicine (1.4k citations), Epidemiology (5.4k citations), Parasitology (601 citations) and Endocrinology (384 citations). Ying Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wanliang Shi, Angelo Scorpio, Douglas B. Young, Wenhong Zhang, Béate Heym, Stewart T. Cole, B.W. Allen, Zhonghe Sun, Jie Feng and Peng Cui. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Frontiers in Microbiology, Antibiotics, PLoS ONE and Respirology.

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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