Xiaojin Sha

1.2k citations
15 papers · 974 indexed · h-index 11

Impact in

  • Immunology top 5%
    • Atherosclerosis and Cardiovascular Diseases
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immune responses and vaccinations
    • T-cell and B-cell Immunology
  • Nephrology top 10%
    • Gout, Hyperuricemia, Uric Acid

Papers in

    • Chronic Myeloid Leukemia Treatments 4
    • Acute Myeloid Leukemia Research 3
    • Atherosclerosis and Cardiovascular Diseases 4
    • Immune cells in cancer 2

Xiaojin Sha

15 papers receiving 970 citations

Peers

Xiaojin Sha
Comparison fields: 5 of 84
  • Immunology 454
  • Nephrology 63
  • Molecular Biology 519
  • Cancer Research 77
  • Biological Psychiatry 10
Replace Ines Sturmlechner with:
Ines Sturmlechner United States
Zihua Zhou China
Panagiotis Fotakis United States
Nikolina Papac-Miličević Austria
Linda Grimaud France
Brian Tieu United States
Xiao Meng China
Dazhu Li China
Yoichiro Uchida Japan
Sophie Colin France
Xiaojin Sha relative to Ines Sturmlechner United States Ines Sturmlechner's profile →
Citations per field
00.5×4.3×
Ines Sturmlechner · 1×
Citations per year

Countries citing papers authored by Xiaojin Sha

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojin Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 202313
2 201879
3 201812
4 20177
5 201713
6 201633
7 2016195
8 201580
9 201579
10 2015168
11 2012202
12 20121
13 20111
14
Stress sensor Gadd45 genes as therapeutic targets in cancer.
200989
15 20012

About Xiaojin Sha

Xiaojin Sha is a scholar working on Hematology, Immunology, Genetics, Oncology and Molecular Biology, having authored 15 papers that have together received 974 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Myeloid Leukemia Research (3 papers), Inflammasome and immune disorders (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Immune cells in cancer (2 papers), Protein Degradation and Inhibitors (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Immunology (454 citations), Nephrology (63 citations), Molecular Biology (519 citations), Cancer Research (77 citations) and Biological Psychiatry (10 citations). Xiaojin Sha has collaborated with scholars based in United States, China and France. Frequent co-authors include Xiaohua Jiang, Xiaofeng Yang, Xinyuan Li, Hong Wang, Hang Xi, Ying Yin, Anthony Virtue, Jietang Mai, Dan A. Liebermann and Barbara Hoffman. Their work appears in journals such as Oncotarget, Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Blood and Cells.

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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