Jie Lu

5.1k citations
173 papers · 3.8k · h-index 35

Impact in

  • Oncology top 2%
    • Viral-associated cancers and disorders
  • Hepatology top 2%
    • Hepatitis C virus research

Papers in

    • Hepatitis B Virus Studies 14
    • Liver Disease Diagnosis and Treatment 14
    • Cytomegalovirus and herpesvirus research 12

Jie Lu

159 papers receiving 3.8k citations

Peers

Jie Lu
Comparison fields: 5 of 123
  • Oncology 1.1k
  • Hepatology 251
  • Endocrinology 174
  • Geriatrics and Gerontology 102
  • Epidemiology 907
Replace Carmen Berasain with:
Carmen Berasain Spain
Shuping Zhao China
Przemyslaw Bozko Germany
Klaus Roemer Germany
Honglin Zhou China
Wataru Shibata Japan
Hamid Kashkar Germany
Baharia Mograbi France
Masayuki Murata Japan
Jie Lu relative to Carmen Berasain Spain Carmen Berasain's profile →
Citations per field
00.5×6.8×
Carmen Berasain · 1×
Citations per year

Countries citing papers authored by Jie Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jie Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 173 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013164
2 2017111
3 2010109
4 2016101
5 201796
6 201794
7 201494
8 202090
9 201081
10 201775
11 201375
12 201474
13 201168
14 201661
15 201559
16 201157
17 201855
18 201651
19 201448
20 201248

About Jie Lu

Jie Lu is a scholar working on Molecular Biology, Epidemiology, Oncology, Hepatology and Cancer Research, having authored 173 papers that have together received 3.8k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (21 papers), Hepatitis B Virus Studies (14 papers), Liver Disease Diagnosis and Treatment (14 papers), Cytomegalovirus and herpesvirus research (12 papers), Cancer, Hypoxia, and Metabolism (12 papers), Pharmacogenetics and Drug Metabolism (11 papers), Hepatitis C virus research (10 papers) and Vibrio bacteria research studies (8 papers). The work is most often cited by research in Oncology (1.1k citations), Hepatology (251 citations), Endocrinology (174 citations), Geriatrics and Gerontology (102 citations) and Epidemiology (907 citations). Jie Lu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Erle S. Robertson, Qiliang Cai, Edward V. Prochownik, Yu Sang, Jie Ren, Yufeng Yao, Xiaochao Ma, Hem Chandra Jha, Shuvomoy Banerjee and Abhik Saha. Their work appears in journals such as PLoS Pathogens, Journal of Biological Chemistry, Journal of Virology, PLoS ONE and Drug Metabolism and Disposition.

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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