Bin Lv

1.3k citations
29 papers · 754 · 1 hit paper · h-index 10

Impact in

    • Plant-Microbe Interactions and Immunity
    • Plant Virus Research Studies
    • Wheat and Barley Genetics and Pathology
    • Energy, Environment, Economic Growth

Papers in

Bin Lv

28 papers receiving 738 citations

Bin Lv's Hit Papers

Genome-edited powdery mildew resistance in wheat without growth penalties 2022 · 304 citations
3040+1+2Years since publication100200300

Peers

Bin Lv
Comparison fields: 5 of 112
  • Plant Science 252
  • Economics and Econometrics 105
  • Transportation 25
  • Gastroenterology 18
  • Business and International Management 7
Replace Tianxiang Li with:
Tianxiang Li China
Zhaoyang Liu China
Ying Wu China
He Xu China
Chun Fu China
Luca Romagnoli Italy
Luisa Sturiale Italy
Alessia Spada Italy
Bin Lv relative to Tianxiang Li China Tianxiang Li's profile →
Citations per field
00.5×7.4×
Tianxiang Li · 1×
Citations per year

Countries citing papers authored by Bin Lv

Since Specialization
Citations

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

Fields of papers citing papers by Bin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genome-edited powdery mildew resistance in wheat without growth penalties
Hit paper breakdown →
2022304
2 2017158
3 201870
4 202344
5 201925
6 202124
7 202118
8 202417
9 201512
10 201310
11 20238
12 20238
13 20227
14 20237
15 20227
16 20186
17 20245
18 20244
19 20243
20 20243

About Bin Lv

Bin Lv is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Surgery, Computer Networks and Communications and Pathology and Forensic Medicine, having authored 29 papers that have together received 754 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), interferon and immune responses (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Cancer Mechanisms and Therapy (2 papers), Mycobacterium research and diagnosis (2 papers), Internet Traffic Analysis and Secure E-voting (2 papers) and Inflammatory Bowel Disease (2 papers). The work is most often cited by research in Plant Science (252 citations), Economics and Econometrics (105 citations), Transportation (25 citations), Gastroenterology (18 citations) and Business and International Management (7 citations). Bin Lv has collaborated with scholars based in China, Hong Kong and Poland. Frequent co-authors include Jianxin Cui, Zhaohui Li, Guang‐Jie Zhou, Mingxu Wang, Huihui Zhao, Gang Wang, Jin‐Long Qiu, Kunling Chen, Yueting Liang and Dexing Lin. Their work appears in journals such as BMC Gastroenterology, Scientific Reports, Advanced Science, Medicine and Frontiers in Chemistry.

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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