Hu Q

1.7k citations
63 papers · 1.2k · h-index 16

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

Hu Q

56 papers receiving 1.2k citations

Peers

Hu Q
Comparison fields: 5 of 124
  • Neurology 376
  • Neurology 103
  • Genetics 123
  • Cancer Research 160
  • Virology 44
Replace Shinji Kuroda with:
Shinji Kuroda Japan
Zhaohui Luo China
Diana Matias Brazil
Changyin Yu China
Anne R. Gocke United States
Kohei Yuyama Japan
Giuliana Silvestri United Kingdom
Cédric Artus France
Michael Tagen United States
Hu Q relative to Shinji Kuroda Japan Shinji Kuroda's profile →
Citations per field
00.5×8.8×
Shinji Kuroda · 1×
Citations per year

Countries citing papers authored by Hu Q

Since Specialization
Citations

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

Fields of papers citing papers by Hu Q

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012383
2 202093
3 201866
4 202051
5 200644
6 202043
7 202339
8 201433
9 200832
10 202231
11 201230
12 202130
13 201326
14 202023
15 201016
16 201015
17 202114
18 201713
19 201313
20 200913

About Hu Q

Hu Q is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Immunology, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), HIV Research and Treatment (5 papers), Nuclear Receptors and Signaling (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), MicroRNA in disease regulation (4 papers), Autophagy in Disease and Therapy (3 papers), Inflammatory Bowel Disease (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Neurology (376 citations), Neurology (103 citations), Genetics (123 citations), Cancer Research (160 citations) and Virology (44 citations). Hu Q has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Anna Richardson, Alexander Gerhard, David Neary, Andrew Robinson, Yvonne S. Davidson, Julie S. Snowden, Matt Jones, Jennifer Harris, Linda Gibbons and Daniel DuPlessis. Their work appears in journals such as PLoS ONE, Scientific Reports, Cell Death and Disease, Brain and Biochemical Pharmacology.

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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