Long Yang

1.3k citations
62 papers · 969 · h-index 17

Impact in

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

Papers in

Long Yang

58 papers receiving 948 citations

Peers

Long Yang
Comparison fields: 5 of 114
  • Immunology 225
  • Cancer Research 98
  • Infectious Diseases 112
  • Molecular Biology 375
  • Obstetrics and Gynecology 34
Replace Joël Zindel with:
Joël Zindel Switzerland
Michele Proietti Italy
Bongkun Choi South Korea
José Luis Maravillas‐Montero Mexico
Jean‐Marie Bach France
Florent Dumont France
Morteza Motallebnezhad Iran
Simon Blanchard France
Kevin A. Robertson United Kingdom
Long Yang relative to Joël Zindel Switzerland Joël Zindel's profile →
Citations per field
00.5×5×12.3×
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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015234
2 201282
3 200853
4 201951
5 201648
6 202138
7 202236
8 201936
9 201329
10 201123
11 201923
12 200919
13 200819
14 200819
15 202117
16 201916
17 202116
18 202215
19 201612
20 202211

About Long Yang

Long Yang is a scholar working on Immunology, Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 969 indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (5 papers), Reproductive System and Pregnancy (4 papers), Neural dynamics and brain function (4 papers), Memory and Neural Mechanisms (4 papers), Sepsis Diagnosis and Treatment (3 papers), Neuroscience and Neural Engineering (3 papers), Cancer-related molecular mechanisms research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (225 citations), Cancer Research (98 citations), Infectious Diseases (112 citations), Molecular Biology (375 citations) and Obstetrics and Gynecology (34 citations). Long Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Penghua Wang, Erol Fikrig, Hui Wang, Wen Pan, Ruaidhrí Jackson, Yunjiang Zheng, Anthony Rongvaux, Shu Zhu, Qiangming Sun and Fuping You. Their work appears in journals such as Animals, Frontiers in Immunology, Infection and Drug Resistance, 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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