Xiaochen Long

408 citations
3 papers · 266 · 1 hit paper · h-index 3

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Xiaochen Long

3 papers receiving 263 citations

Xiaochen Long's Hit Papers

Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFNγ signaling 2021 · 226 citations
2260+1+3Years since publication50100150200

Peers

Xiaochen Long
Comparison fields: 5 of 47
  • Hematology 155
  • Genetics 72
  • Immunology 72
  • Cancer Research 32
  • Emergency Medicine 11
Replace Paweł Kuś with:
Paweł Kuś Poland
S. A. Wang United States
Alyssa Cull Canada
Magnus Tobiasson Sweden
Sunisa Kongkiatkamon United States
Karolína Perglerová Germany
Deena Iskander United Kingdom
Sally Jeffries United Kingdom
Melanie Zenger Germany
Xiaochen Long relative to Paweł Kuś Poland Paweł Kuś's profile →
Citations per field
00.5×1.5×
Paweł Kuś · 1×
Citations per year

Countries citing papers authored by Xiaochen Long

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochen Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Xiaochen Long, 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 Xiaochen Long Line = papers co-authored together Xiaochen Long links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Xiaochen Long

Xiaochen Long is a scholar working on Molecular Biology, Mathematical Physics, Statistical and Nonlinear Physics, Artificial Intelligence and Hematology, having authored 3 papers that have together received 266 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (1 paper), Single-cell and spatial transcriptomics (1 paper), Epigenetics and DNA Methylation (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Complex Network Analysis Techniques (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Stochastic processes and statistical mechanics (1 paper). The work is most often cited by research in Hematology (155 citations), Genetics (72 citations), Immunology (72 citations), Cancer Research (32 citations) and Emergency Medicine (11 citations). Xiaochen Long has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Paweł Kuś, Grant A. Challen, Duy T. Le, Katherine Y. King, Katie A. Matatall, Marek Kimmel, Roman Jaksik, Daniel Hormaechea‐Agulla, Bailee Kain and Jan J. Molenaar. Their work appears in journals such as Cell stem cell, Computational Statistics & Data Analysis and Genome 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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