Long Yang

1.3k citations
61 papers · 901 · h-index 16

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Reproductive System and Pregnancy
    • Immune Response and Inflammation
    • Cancer-related molecular mechanisms research

Papers in

Long Yang

55 papers receiving 887 citations

Peers

Long Yang
Comparison fields: 5 of 112
  • Immunology 241
  • Cancer Research 110
  • Infectious Diseases 113
  • Molecular Biology 388
  • Obstetrics and Gynecology 44
Replace Joël Zindel with:
Joël Zindel Switzerland
Michele Proietti Italy
Andrea Santeford United States
Xiaoying Yao China
Carla Guthridge United States
Theodore S. Kapellos Germany
Thomas Simon France
Melanie Scully United States
G. Villegas United States
Long Yang relative to Joël Zindel Switzerland Joël Zindel's profile →
Citations per field
00.5×12.3×
Joël Zindel · 1×
Citations per year

Countries citing papers authored by Long Yang

Since Specialization
Citations

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

Fields of papers citing papers by Long Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015215
2 201277
3 200851
4 201947
5 201647
6 202137
7 202235
8 201935
9 201327
10 201923
11 201121
12 200819
13 200919
14 200817
15 202115
16 202115
17 201914
18 202213
19 201612
20 202110

About Long Yang

Long Yang is a scholar working on Molecular Biology, Immunology, Cognitive Neuroscience, Epidemiology and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 901 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (5 papers), Reproductive System and Pregnancy (5 papers), Sepsis Diagnosis and Treatment (5 papers), Primate Behavior and Ecology (4 papers), Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (4 papers), Cancer-related molecular mechanisms research (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Immunology (241 citations), Cancer Research (110 citations), Infectious Diseases (113 citations), Molecular Biology (388 citations) and Obstetrics and Gynecology (44 citations). Long Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Penghua Wang, Hui Wang, Fuping You, Shu Zhu, Wen Pan, Yunjiang Zheng, Erol Fikrig, Ruaidhrí Jackson, Rongtuan Lin and Shuang Cui. Their work appears in journals such as Animals, Infection and Drug Resistance, Frontiers in Immunology, Annals of Noninvasive Electrocardiology and Archives of Medical Research.

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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