Lan Hu

556 citations
44 papers · 429 · h-index 13

Impact in

    • Forensic and Genetic Research
    • Genetic diversity and population structure

Papers in

    • Forensic and Genetic Research 6
    • Genetic Associations and Epidemiology 2
    • Forensic Toxicology and Drug Analysis 2

Lan Hu

41 papers receiving 409 citations

Peers

Lan Hu
Comparison fields: 5 of 94
  • Genetics 118
  • Toxicology 11
  • Archeology 35
  • Molecular Biology 164
  • Psychiatry and Mental health 32
Replace Angela Zissler with:
Angela Zissler Austria
Euidong Lee South Korea
Alena Buretić‐Tomljanović Croatia
Emmet Kelly Ireland
Anja H. Schiemann New Zealand
Laura Stocchi Italy
Aki Watanabe Japan
Xiao Wen Sun United States
Lucas Martins Chaible Brazil
Gabrielle Brown United States
Lan Hu relative to Angela Zissler Austria Angela Zissler's profile →
Citations per field
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Angela Zissler · 1×
Citations per year

Countries citing papers authored by Lan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200460
2 201134
3 202032
4 201931
5 201722
6 201821
7 200320
8 200117
9 201514
10
RESTRICTION-ENDONUCLEASE ANALYSIS OF MITOCHONDRIAL-DNA OF MUNTJACS AND RELATED DEER
199414
11 201113
12 200913
13 201113
14 201911
15
Bcl-2 and Bax are differentially expressed in hyperplastic, premalignant, and malignant lesions of mammary carcinogenesis.
200011
16 20239
17 20208
18 20247
19 19976
20 20166

About Lan Hu

Lan Hu is a scholar working on Genetics, Toxicology, Molecular Biology, Neurology and Cancer Research, having authored 44 papers that have together received 429 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (8 papers), Forensic and Genetic Research (6 papers), DNA Repair Mechanisms (3 papers), Genomics and Phylogenetic Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Genetic Associations and Epidemiology (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Genetics (118 citations), Toxicology (11 citations), Archeology (35 citations), Molecular Biology (164 citations) and Psychiatry and Mental health (32 citations). Lan Hu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhe-Xiang Tu, Esteban Juan Parra, Xin Zhao, Xiao‐Hui Zheng, Aihong Ji, Caiying Jiang, Yao Liu, Yi‐Liang Wei, Caixia Li and Shengbin Li. Their work appears in journals such as Journal of Forensic Sciences, Biochemical and Biophysical Research Communications, Forensic Science International, Journal of Cellular Biochemistry and Frontiers in Neurology.

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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