Xiaochen Long

415 citations
3 papers · 305 · 1 hit paper · h-index 3

Impact in

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

Papers in

    • Stochastic processes and statistical mechanics 1
    • Acute Myeloid Leukemia Research 1
    • Hematopoietic Stem Cell Transplantation 1

Xiaochen Long

3 papers receiving 303 citations

Xiaochen Long's Hit Papers

Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFNγ signaling 2021 · 265 citations
2650+1+3Years since publication50100150200250

Peers

Xiaochen Long
Comparison fields: 5 of 48
  • Hematology 182
  • Genetics 79
  • Immunology 82
  • Cancer Research 38
  • Rheumatology 20
Replace Aristi Damaskou with:
Aristi Damaskou United Kingdom
Victor B. Pastor Germany
Rurika Okuda Japan
Jenna A. Fernandez United States
Karolína Perglerová Germany
Hacène Zerazhi France
Chandrakala Shanmukhaiah India
Flávia S. Donaires Brazil
Juan Carlos Balandrán Mexico
Maximilian Schönung Germany
Xiaochen Long relative to Aristi Damaskou United Kingdom Aristi Damaskou's profile →
Citations per field
00.5×1.5×2×2.4×
Aristi Damaskou · 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
#Work
1
Chronic infection drives Dnmt3a-loss-of-function clonal hematopoiesis via IFNγ signaling
Hit paper breakdown →
2021265
2 202332
3 20208

About Xiaochen Long

Xiaochen Long is a scholar working on Mathematical Physics, Hematology, Statistical and Nonlinear Physics, Molecular Biology and Artificial Intelligence, having authored 3 papers that have together received 305 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (1 paper), Epigenetics and DNA Methylation (1 paper), Stochastic processes and statistical mechanics (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), Single-cell and spatial transcriptomics (1 paper), Complex Network Analysis Techniques (1 paper) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Hematology (182 citations), Genetics (79 citations), Immunology (82 citations), Cancer Research (38 citations) and Rheumatology (20 citations). Xiaochen Long has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Bailee Nicole Kain, Paweł Kuś, Katie A. Matatall, Roman Jaksik, Grant Anthony Challen, Duy Tri Le, Daniel Hormaechea‐Agulla, Marek Kimmel, Katherine Y. King and Michael Schweinberger. Their work appears in journals such as Computational Statistics & Data Analysis, Genome biology and Cell stem cell.

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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