K.H. Lu

32 papers receiving 1.2k citations

K.H. Lu's Hit Papers

Patterns of genomic loss of heterozygosity predict homologous recombination repair defects in epithelial ovarian cancer 2012 · 518 citations
5180+4+9Years since publication100200300400500

Peers

K.H. Lu
Comparison fields: 5 of 72
  • Reproductive Medicine 504
  • Public Health, Environmental and Occupational Health 558
  • Oncology 421
  • Agronomy and Crop Science 130
  • Genetics 306
Replace Jian Hou with:
Jian Hou China
Maria Colombino Italy
Mariia Ivanova Italy
Christina M. Birch United States
Marc Hirschfeld Germany
Lidija Beketić-Orešković Croatia
Steinunn Thorlacius Iceland
Lin Gu China
Nicola Cresti United Kingdom
Ying-Fei Wei United States
K.H. Lu relative to Jian Hou China Jian Hou's profile →
Citations per field
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Jian Hou · 1×
Citations per year

Countries citing papers authored by K.H. Lu

Since Specialization
Citations

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

Fields of papers citing papers by K.H. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Patterns of genomic loss of heterozygosity predict homologous recombination repair defects in epithelial ovarian cancer
Hit paper breakdown →
2012518
2 1987195
3 1990136
4 199075
5 201769
6 199063
7 198732
8 199232
9 199028
10 199127
11 199220
12 201019
13 198915
14 198813
15 200512
16 201311
17 198910
18 20049
19
Gynecological malignancy as a "sentinel cancer" for women with HNPCC.
20017
20 19825

About K.H. Lu

K.H. Lu is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Reproductive Medicine and Genetics, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (7 papers), Ovarian cancer diagnosis and treatment (5 papers), Endometrial and Cervical Cancer Treatments (3 papers), Cancer therapeutics and mechanisms (3 papers), Renal and related cancers (2 papers), Seed Germination and Physiology (2 papers), Pluripotent Stem Cells Research (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Reproductive Medicine (504 citations), Public Health, Environmental and Occupational Health (558 citations), Oncology (421 citations), Agronomy and Crop Science (130 citations) and Genetics (306 citations). K.H. Lu has collaborated with scholars based in United States, Ireland and China. Frequent co-authors include Ian Gordon, Mary E. Gallagher, Shao‐Jing Tan, Mark Carey, Deniece R. Williams, Diana Iliev, Srikanth Jammulapati, Julie A. DeLoia, Victor Abkevich and Kirsten M. Timms. Their work appears in journals such as Theriogenology, Gynecologic Oncology, International Journal of Gynecological Cancer, Annals of Oncology and Journal of Clinical Oncology.

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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