Ling Lv

1.5k citations
57 papers · 1.0k · h-index 19

Impact in

    • Pregnancy and preeclampsia studies
    • Gestational Diabetes Research and Management
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 4
    • Inflammasome and immune disorders 4

Ling Lv

53 papers receiving 1.0k citations

Peers

Ling Lv
Comparison fields: 5 of 99
  • Obstetrics and Gynecology 107
  • Immunology 282
  • Genetics 106
  • Hepatology 79
  • Cancer Research 136
Replace Shifra Ash with:
Shifra Ash Israel
Mingchao Zhang China
Miguel Pericacho Spain
Jianxin Wan China
Désirée Tampe Germany
Tohru Ishikawa Japan
Simona Ognjanovic United States
Agata Burska United Kingdom
Jing-Yuan Cao China
Huiping Chen China
Ling Lv relative to Shifra Ash Israel Shifra Ash's profile →
Citations per field
00.5×4.7×
Shifra Ash · 1×
Citations per year

Countries citing papers authored by Ling Lv

Since Specialization
Citations

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

Fields of papers citing papers by Ling Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201989
2 200780
3 201777
4 201564
5 201562
6 201756
7 201455
8 201546
9 201437
10 201536
11 201034
12 200733
13 200532
14 200629
15 202028
16 201627
17 201926
18 200726
19 201920
20 201116

About Ling Lv

Ling Lv is a scholar working on Immunology, Molecular Biology, Surgery, Rheumatology and Obstetrics and Gynecology, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Pregnancy and preeclampsia studies (7 papers), Gestational Diabetes Research and Management (6 papers), T-cell and B-cell Immunology (4 papers), Birth, Development, and Health (4 papers), Cancer-related molecular mechanisms research (4 papers), Inflammasome and immune disorders (4 papers) and Folate and B Vitamins Research (4 papers). The work is most often cited by research in Obstetrics and Gynecology (107 citations), Immunology (282 citations), Genetics (106 citations), Hepatology (79 citations) and Cancer Research (136 citations). Ling Lv has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Lei Han, Jing Yang, Xiuwen Wang, Bin Li, Aihua Yao, Liming Bao, Xuehao Wang, Guoqiang Li, Liyong Pu and Jie Qiu. Their work appears in journals such as The Journal of Immunology, Leukemia Research, Public Health Nutrition, Journal of Biological Chemistry and Frontiers in Public Health.

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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