Lanjing Wei

719 citations
25 papers · 540 · h-index 13

Impact in

Papers in

    • RNA Research and Splicing 7
    • RNA modifications and cancer 6
    • Molecular Biology Techniques and Applications 5
    • Vector-borne infectious diseases 8

Lanjing Wei

25 papers receiving 536 citations

Peers

Lanjing Wei
Comparison fields: 5 of 55
  • Parasitology 224
  • Molecular Medicine 74
  • Infectious Diseases 171
  • Endocrinology 42
  • Pollution 55
Replace Kiyotaka Yoshiie with:
Kiyotaka Yoshiie Japan
Chunlian Song China
P Névot France
C. Hemsley United Kingdom
Myung-Sik Choi South Korea
Rodrigo P. Baptista United States
Nurjahan Begum Bangladesh
Amod Kumar India
Hema P. Narra United States
Ivan Ivanov Bulgaria
Lanjing Wei relative to Kiyotaka Yoshiie Japan Kiyotaka Yoshiie's profile →
Citations per field
00.5×8.3×
Kiyotaka Yoshiie · 1×
Citations per year

Countries citing papers authored by Lanjing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lanjing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017103
2 202080
3 201452
4 201548
5 201435
6 201532
7 201526
8 202321
9 201420
10 201418
11 201714
12 201314
13 202312
14 201712
15 202410
16 201510
17 20249
18 20246
19 20205
20 20214

About Lanjing Wei

Lanjing Wei is a scholar working on Molecular Biology, Parasitology, Cancer Research, Infectious Diseases and Pollution, having authored 25 papers that have together received 540 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (8 papers), RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers), Molecular Biology Techniques and Applications (5 papers), Cancer-related molecular mechanisms research (5 papers), Salmonella and Campylobacter epidemiology (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Parasitology (224 citations), Molecular Medicine (74 citations), Infectious Diseases (171 citations), Endocrinology (42 citations) and Pollution (55 citations). Lanjing Wei has collaborated with scholars based in United States, China and Saint Kitts and Nevis. Frequent co-authors include Chengming Wang, Patrick Kelly, Jilei Zhang, Guangwu Lu, Heba S. El-Mahallawy, Zhenwen Zhang, Jiansen Gong, Haixiang Qiu, Xiaoqing Wu and Liang Xu. Their work appears in journals such as Cancer Research, Parasites & Vectors, PLoS ONE, npj Precision Oncology and Genes.

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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