Haihui Lu

2.7k citations
27 papers · 2.1k · h-index 18

Impact in

Papers in

    • DNA Repair Mechanisms 12
    • DNA and Nucleic Acid Chemistry 7
    • Genomics and Chromatin Dynamics 3
    • CRISPR and Genetic Engineering 3
    • CAR-T cell therapy research 4
    • Cancer Cells and Metastasis 3

Haihui Lu

26 papers receiving 2.1k citations

Peers

Haihui Lu
Comparison fields: 5 of 80
  • Oncology 757
  • Cancer Research 332
  • Molecular Biology 1.5k
  • Immunology 358
  • Cell Biology 135
Replace Katrina Meeth with:
Katrina Meeth United States
Arianna Sabò Italy
Yong Wan United States
Carol Y. Ying United States
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Rubén A. Bartolomé Spain
Alan W. Lau United States
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Citations per field
00.5×2.5×
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Citations per year

Countries citing papers authored by Haihui Lu

Since Specialization
Citations

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

Fields of papers citing papers by Haihui Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014377
2 2004278
3 2013259
4 2008172
5 2007128
6 2005111
7 200997
8 200795
9 200691
10 200586
11 200785
12 200765
13
Anthracycline immunoconjugates prepared by a site-specific linkage via an amino-dextran intermediate carrier.
199142
14 202237
15 200835
16 202231
17 200727
18 202218
19 201813
20 201612

About Haihui Lu

Haihui Lu is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Public Health, Environmental and Occupational Health, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (12 papers), DNA and Nucleic Acid Chemistry (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), CAR-T cell therapy research (4 papers), Cancer Cells and Metastasis (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Genomics and Chromatin Dynamics (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Oncology (757 citations), Cancer Research (332 citations), Molecular Biology (1.5k citations), Immunology (358 citations) and Cell Biology (135 citations). Haihui Lu has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Michael R. Lieber, Klaus Schwarz, Yunmei Ma, Jiafeng Gu, Noriko Shimazaki, Albert G. Tsai, Myron F. Goodman, Brigette L. Tippin, Wai Leong Tam and Robert A. Weinberg. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, Nucleic Acids Research, Blood and The EMBO Journal.

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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