Kai Lv

1.9k citations
88 papers · 1.5k · h-index 24

Impact in

    • Antibiotic Resistance in Bacteria
    • Synthesis and biological activity
    • Synthesis and Biological Evaluation
    • Quinazolinone synthesis and applications

Papers in

    • Cancer therapeutics and mechanisms 30
    • Phenothiazines and Benzothiazines Synthesis and Activities 13
    • Tuberculosis Research and Epidemiology 13

Kai Lv

83 papers receiving 1.4k citations

Peers

Kai Lv
Comparison fields: 5 of 112
  • Molecular Medicine 109
  • Organic Chemistry 604
  • Infectious Diseases 357
  • Toxicology 35
  • Molecular Biology 701
Replace Rohan Dhiman with:
Rohan Dhiman India
William R. Wolter United States
Zhengfang Lin China
Rainer Riedl Switzerland
Véronique Andrieu France
Haruko Takahashi Japan
Angela Arciello Italy
Eman Fayad Saudi Arabia
Sergey N. Mikhailov Russia
Thomas Dahl United States
Kai Lv relative to Rohan Dhiman India Rohan Dhiman's profile →
Citations per field
00.5×4.1×
Rohan Dhiman · 1×
Citations per year

Countries citing papers authored by Kai Lv

Since Specialization
Citations

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

Fields of papers citing papers by Kai Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010108
2 2019105
3 201754
4 201253
5 201740
6 201139
7 201836
8 201635
9 202334
10 201731
11 201931
12 202330
13 201130
14 202130
15 201129
16 202229
17 201128
18 201828
19 201827
20 202327

About Kai Lv

Kai Lv is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Epidemiology and Biomedical Engineering, having authored 88 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (30 papers), Phenothiazines and Benzothiazines Synthesis and Activities (13 papers), Tuberculosis Research and Epidemiology (13 papers), Antibiotic Resistance in Bacteria (10 papers), Quinazolinone synthesis and applications (9 papers), Antibiotics Pharmacokinetics and Efficacy (9 papers), Hepatitis B Virus Studies (7 papers) and Nanoplatforms for cancer theranostics (7 papers). The work is most often cited by research in Molecular Medicine (109 citations), Organic Chemistry (604 citations), Infectious Diseases (357 citations), Toxicology (35 citations) and Molecular Biology (701 citations). Kai Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mingliang Liu, Huiyuan Guo, Yu Lu, Apeng Wang, Lian‐Shun Feng, Yun Chai, Dong Ma, Guowei Li, Bo Wang and Xiaowei Liu. Their work appears in journals such as European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Bioorganic Chemistry, ACS Medicinal Chemistry Letters and Bioorganic & Medicinal 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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