Ying Ge

3.3k citations
97 papers · 2.5k indexed · h-index 29

Impact in

Papers in

Ying Ge

91 papers receiving 2.4k citations

Peers

Ying Ge
Comparison fields: 5 of 127
  • Virology 163
  • Gastroenterology 121
  • Genetics 414
  • Molecular Biology 962
  • Pharmaceutical Science 85
Replace Ann M. Hopkins with:
Ann M. Hopkins Ireland
Adam Williams United States
Françoise Cottrez France
Shinji Shimada Japan
Habib Zaghouani United States
Yosuke Kurashima Japan
Brigitta M. N. Brinkman Netherlands
LuAnn Thompson-Snipes United States
Kagemasa Kuribayashi Japan
Francesca Zolezzi Singapore
Ying Ge relative to Ann M. Hopkins Ireland Ann M. Hopkins's profile →
Citations per field
00.5×
Ann M. Hopkins · 1×
Citations per year

Countries citing papers authored by Ying Ge

Since Specialization
Citations

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

Fields of papers citing papers by Ying Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20232
4 202315
5 20233
6 20228
7 202111
8 20201
9 20207
10 201911
11 201921
12 201553
13 20151
14 2013153
15 201299
16
Blood collection procedures influence contamination rates in blood culture: a prospective study.
20115
17 2010224
18
CG0070, a conditionally replicating GM-CSF armed oncolytic adenovirus for the treatment of bladder cancer
20053
19
Construction of Recombinant Adenovirus Expressing Influenza virus Neuraminidase Gene
20032
20 200113

About Ying Ge

Ying Ge is a scholar working on Virology, Microbiology, Gastroenterology, Obstetrics and Gynecology and Immunology, having authored 97 papers that have together received 2.5k indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), HIV Research and Treatment (7 papers), Nitric Oxide and Endothelin Effects (6 papers), Birth, Development, and Health (6 papers), Renin-Angiotensin System Studies (6 papers), Gastroesophageal reflux and treatments (6 papers), HIV/AIDS Research and Interventions (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Virology (163 citations), Gastroenterology (121 citations), Genetics (414 citations), Molecular Biology (962 citations) and Pharmaceutical Science (85 citations). Ying Ge has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include Bo Porse, Yong Li, Yanming Zhu, Wei Ji, Hua Cai, Dekang Lv, James G. McArthur, Dechao Yu, Nagarajan Ramesh and Shanthi Ganesh. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Poultry Science, Cell Reports, Cancer Gene Therapy and Journal of Clinical Microbiology.

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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