Dan X. Cai

977 citations
17 papers · 743 indexed · h-index 13

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 5%
    • Neurofibromatosis and Schwannoma Cases
    • Neuroblastoma Research and Treatments

Papers in

    • Neurofibromatosis and Schwannoma Cases 6
    • Neuroblastoma Research and Treatments 4
    • Glioma Diagnosis and Treatment 3

Dan X. Cai

16 papers receiving 730 citations

Peers

Dan X. Cai
Comparison fields: 5 of 50
  • Genetics 253
  • Neurology 331
  • Epidemiology 313
  • Pathology and Forensic Medicine 95
  • Rheumatology 69
Replace Eriks A. Lusis with:
Eriks A. Lusis United States
Patrice C. Abell-Aleff United States
Stéphane Goutagny France
Jun Masuoka Japan
J. Gonçalves Spain
Corinne Bouvier‐Labit France
Arnault Tauziède‐Espariat France
David J. Fusco United States
Jingyi Fang China
Tetsuo Hashiba Japan
Dan X. Cai relative to Eriks A. Lusis United States Eriks A. Lusis's profile →
Citations per field
00.5×1.7×
Eriks A. Lusis · 1×
Citations per year

Countries citing papers authored by Dan X. Cai

Since Specialization
Citations

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

Fields of papers citing papers by Dan X. Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan X. Cai. 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 Dan X. Cai. The network helps show where Dan X. Cai may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 20250
2 20224
3 20201
4 201914
5 201050
6 200629
7 200378
8 200329
9 200210
10 200222
11 200126
12 200138
13 200182
14 200175
15 2001132
16 200018
17 2000135

About Dan X. Cai

Dan X. Cai is a scholar working on Neurology, Genetics, Endocrinology, Diabetes and Metabolism, Epidemiology and Pathology and Forensic Medicine, having authored 17 papers that have together received 743 indexed citations. Recurring topics across this work include Neurofibromatosis and Schwannoma Cases (6 papers), Meningioma and schwannoma management (5 papers), Neuroblastoma Research and Treatments (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Glioma Diagnosis and Treatment (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Chromatin Remodeling and Cancer (2 papers). The work is most often cited by research in Genetics (253 citations), Neurology (331 citations), Epidemiology (313 citations), Pathology and Forensic Medicine (95 citations) and Rheumatology (69 citations). Dan X. Cai has collaborated with scholars based in United States and China. Frequent co-authors include Arie Perry, Christine M. Lohse, Bernd W. Scheithauer, Beth Levy, Ruma Banerjee, Bette K. Kleinschmidt‐DeMasters, Paul E. Swanson, Amy L. Weaver, David H. Gutmann and Irene Newsham. Their work appears in journals such as Journal of Neuropathology & Experimental Neurology, Journal of neurosurgery, Urology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Neurosurgical FOCUS.

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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