Haining Lv

1.1k citations
23 papers · 722 · h-index 16

Impact in

Papers in

    • Reproductive System and Pregnancy 11
    • Gynecological conditions and treatments 5
    • Pregnancy and preeclampsia studies 4
    • Uterine Myomas and Treatments 4

Haining Lv

23 papers receiving 713 citations

Peers

Haining Lv
Comparison fields: 5 of 91
  • Obstetrics and Gynecology 277
  • Reproductive Medicine 203
  • Immunology 270
  • Spectroscopy 96
  • Cancer Research 62
Replace Ilma Simoni Brum with:
Ilma Simoni Brum Brazil
Berit Fröysa Sweden
Mukesh K. Jaiswal United States
Zeinab Latifi Iran
Elena Kostova Netherlands
Hiroyuki Mori Japan
Takuro Yamada Japan
Clifford Mason United States
Raymond C. Pasek United States
Gbolagade O. Babalola United States
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Citations per field
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Ilma Simoni Brum · 1×
Citations per year

Countries citing papers authored by Haining Lv

Since Specialization
Citations

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

Fields of papers citing papers by Haining Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2 202296
3 202168
4 202266
5 201844
6 202037
7 202130
8 202330
9 201826
10 202326
11 202223
12 202322
13 201922
14 201919
15 202118
16 202215
17 201213
18 202312
19 202312
20 202411

About Haining Lv

Haining Lv is a scholar working on Immunology, Obstetrics and Gynecology, Reproductive Medicine, Molecular Biology and Surgery, having authored 23 papers that have together received 722 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (11 papers), Endometriosis Research and Treatment (10 papers), Gynecological conditions and treatments (5 papers), Pregnancy and preeclampsia studies (4 papers), Uterine Myomas and Treatments (4 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Obstetrics and Gynecology (277 citations), Reproductive Medicine (203 citations), Immunology (270 citations), Spectroscopy (96 citations) and Cancer Research (62 citations). Haining Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yali Hu, Peipei Jiang, Simin Yao, Guangfeng Zhao, Zhiyin Wang, Zhenhua Zhou, Dan Liu, Jianwu Dai, Huiyan Wang and Limin Wang. Their work appears in journals such as Journal of Clinical Investigation, Cell Death and Disease, Free Radical Biology and Medicine, Proceedings of the National Academy of Sciences and iScience.

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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