Wei Jia

1.5k citations
24 papers · 1.1k · h-index 14

Impact in

  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism
    • Adenosine and Purinergic Signaling
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Phagocytosis and Immune Regulation

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 4
    • Autophagy in Disease and Therapy 6

Wei Jia

22 papers receiving 1.1k citations

Peers

Wei Jia
Comparison fields: 5 of 83
  • Physiology 145
  • Immunology 413
  • Epidemiology 545
  • Cancer Research 131
  • Immunology and Allergy 47
Replace Amanda J. Stranks with:
Amanda J. Stranks United Kingdom
Hélène Gary‐Gouy France
Julien Cherfils‐Vicini France
Valeska Heib Germany
Tracy Sawchuk Canada
Christian W. Keller Switzerland
Hye‐Sook Kwon United States
Nanette Solvason United States
Irene Shostak Canada
Carla Mazzeo Spain
Wei Jia relative to Amanda J. Stranks United Kingdom Amanda J. Stranks's profile →
Citations per field
00.5×1.5×
Amanda J. Stranks · 1×
Citations per year

Countries citing papers authored by Wei Jia

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010178
2 2011173
3 2012168
4 200598
5 201294
6 201583
7 200964
8 201252
9 200646
10 201541
11 201835
12 200832
13 202121
14 201514
15 200812
16 20199
17 20235
18 20164
19 20193
20 20223

About Wei Jia

Wei Jia is a scholar working on Immunology, Epidemiology, Hematology, Immunology and Allergy and Molecular Biology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Autophagy in Disease and Therapy (6 papers), Immunotherapy and Immune Responses (4 papers), Cell Adhesion Molecules Research (4 papers), Calcium signaling and nucleotide metabolism (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Physiology (145 citations), Immunology (413 citations), Epidemiology (545 citations), Cancer Research (131 citations) and Immunology and Allergy (47 citations). Wei Jia has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include You‐Wen He, Qi-Jing Li, Heather H. Pua, Anuj Kashyap, Suman Paul, Brian C. Schaefer, Hong Li, Ian X. McLeod, Jian Guo and Ming‐Xiao He. Their work appears in journals such as Blood, The Journal of Immunology, The EMBO Journal, Journal of Leukocyte Biology and Redox Biology.

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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