Meixiao Long

3.4k citations
49 papers · 1.8k indexed · 1 hit paper · h-index 19
Topics
Chronic Lymphocytic Leukemia Research (14 papers)Immune Cell Function and Interaction (12 papers)T-cell and B-cell Immunology (11 papers)

In The Last Decade

Meixiao Long

46 papers receiving 1.8k citations

Hit Papers

Ibrutinib treatment improves T cell number and function i...2017202620202023201750100150200250

Peers

Meixiao Long
Comparison fields: 5 of 96
  • Immunology 1.1k
  • Oncology 648
  • Molecular Biology 448
  • Cancer Research 283
  • Genetics 265
Replace Eva Sahakian with:
Eva Sahakian United States
Danyi Wen China
Lixin Rui United States
Natasha M. Savage United States
Erik A. Nelson United States
Maciej Kmieciak United States
Yanyan Han China
Eva M. Garrido‐Martín Spain
Shweta Joshi United States
Jasper de Boer United Kingdom
Meixiao Long relative to Eva Sahakian United States Eva Sahakian's profile →
Citations per field
00.5×
Eva Sahakian · 1×
Citations per year

Countries citing papers authored by Meixiao Long

Since Specialization
Citations

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

Fields of papers citing papers by Meixiao Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meixiao Long

This figure shows the co-authorship network connecting the top 25 collaborators of Meixiao Long. A scholar is included among the top collaborators of Meixiao Long based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meixiao Long. Meixiao Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 25
3 18
4 24
5 61
6 23
7 49
8 40
9 3
10 19
11 143
12 15
13 45
14 7
15
Efficacy of a novel oral single-agent fumarate, BG00012, in patients with relapsing-remitting multiple sclerosis: results of a phase 2 study
13
16 45
17 16
18 226
19 30
20 15

About Meixiao Long

Meixiao Long is a scholar working on Genetics, Immunology and Hematology, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (14 papers), Immune Cell Function and Interaction (12 papers) and T-cell and B-cell Immunology (11 papers). The work is most often cited by research in Immunology (1.1k citations), Genetics (265 citations) and Oncology (648 citations). Meixiao Long has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Sankar Ghosh, Matthew S. Hayden, Sung‐Gyoo Park, Ian Strickland, Adam C. Adler, Marianne A. Mihalyo, John C. Byrd, Amy J. Johnson, Liming Hao and Natarajan Muthusamy. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Communications.

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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