Wei Jia

1.4k citations
20 papers · 1.2k · h-index 15

Impact in

    • Autophagy in Disease and Therapy
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • Hematopoietic Stem Cell Transplantation 8
    • T-cell and B-cell Immunology 4
    • Immune Response and Inflammation 3
    • Immunotherapy and Immune Responses 2
    • Immunodeficiency and Autoimmune Disorders 1

Wei Jia

20 papers receiving 1.2k citations

Peers

Wei Jia
Comparison fields: 5 of 66
  • Epidemiology 485
  • Immunology 234
  • Hematology 110
  • Cancer Research 71
  • Immunology and Allergy 23
Replace Gudrun Ratzinger with:
Gudrun Ratzinger Austria
Claudya Tenca Italy
Stefano Caserta United Kingdom
Irene M. Min United States
BENEDIKT L. ZIEGLER Germany
Amanda J. Stranks United Kingdom
Yukiko Iwasaki Japan
Renee Gloury Australia
Orso Maria Lucherini Italy
Sarfraz A. Memon United States
Wei Jia relative to Gudrun Ratzinger Austria Gudrun Ratzinger's profile →
Citations per field
00.5×2×2.8×
Gudrun Ratzinger · 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
#Work
1 2010181
2 2012180
3 2011174
4 2005104
5 2012101
6 201584
7 200967
8 201252
9 200649
10 201841
11 202135
12 200834
13 201733
14 202318
15 202215
16 200813
17 20236
18 20164
19 20224
20 20161

About Wei Jia

Wei Jia is a scholar working on Hematology, Immunology, Immunology and Allergy, Epidemiology and Sensory Systems, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (8 papers), Autophagy in Disease and Therapy (5 papers), T-cell and B-cell Immunology (4 papers), Cell Adhesion Molecules Research (3 papers), Immune Response and Inflammation (3 papers), Immunotherapy and Immune Responses (2 papers), Immunodeficiency and Autoimmune Disorders (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Epidemiology (485 citations), Immunology (234 citations), Hematology (110 citations), Cancer Research (71 citations) and Immunology and Allergy (23 citations). Wei Jia has collaborated with scholars based in United States, France and Japan. Frequent co-authors include You-Wen He, Qi-Jing Li, Heather H. Pua, Anuj K. Kashyap, Brian C. Schaefer, Suman Paul, Hong Li, Ian X. McLeod, Jian Guo and Ming‐Xiao He. Their work appears in journals such as Blood, The Journal of Immunology, JCI Insight, The EMBO Journal and Frontiers in Immunology.

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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