Lan Lin

1.3k citations
25 papers · 823 · h-index 15

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Peptidase Inhibition and Analysis

Papers in

Lan Lin

21 papers receiving 811 citations

Peers

Lan Lin
Comparison fields: 5 of 99
  • Hematology 229
  • Oncology 269
  • Immunology 168
  • Molecular Biology 423
  • Cancer Research 73
Replace Enrico Orciuolo with:
Enrico Orciuolo Italy
Gerhard Dekan Austria
Liping Mao China
Ana Cordeiro Gomes Portugal
Ruggiero Fumarulo Italy
Young‐Mee Moon South Korea
Haitao Meng China
Jose L. Lepe‐Zuniga United States
John Yang South Korea
Hiroyuki Takahashi Japan
Lan Lin relative to Enrico Orciuolo Italy Enrico Orciuolo's profile →
Citations per field
00.5×1.5×
Enrico Orciuolo · 1×
Citations per year

Countries citing papers authored by Lan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Lan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lan Lin, 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 Lan Lin Line = papers co-authored together Lan Lin 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 2008409
2 201999
3 202030
4 202330
5 201526
6 201526
7 201524
8 201923
9 202223
10 201720
11 202318
12 201616
13 201614
14 201814
15 201914
16 202112
17 20237
18 20196
19 20246
20 20204

About Lan Lin

Lan Lin is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Immunology, Surgery and Cardiology and Cardiovascular Medicine, having authored 25 papers that have together received 823 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (8 papers), Neonatal and Maternal Infections (5 papers), Inflammasome and immune disorders (4 papers), Inflammation biomarkers and pathways (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Cardiac Fibrosis and Remodeling (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Hematology (229 citations), Oncology (269 citations), Immunology (168 citations), Molecular Biology (423 citations) and Cancer Research (73 citations). Lan Lin has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Richard J. Jones, Qiuju Wang, Ivan Borrello, D. Neil Watkins, William Matsui, Ian McNiece, Sarah Brennan, Richard F. Ambinder, Craig D. Peacock and Carol Ann Huff. Their work appears in journals such as Cancer Research, Cell & Bioscience, Journal of Agricultural and Food Chemistry, Journal of Integrative Medicine and Infection and Immunity.

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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