Jintao Wang

18 papers receiving 519 citations

Jintao Wang's Hit Papers

Prothrombotic autoantibodies in serum from patients hospitalized with COVID-19 2020 · 412 citations
4120+2+4Years since publication100200300400

Peers

Jintao Wang
Comparison fields: 5 of 74
  • Infectious Diseases 233
  • Neurology 141
  • Internal Medicine 18
  • Immunology 95
  • Rheumatology 53
Replace Ana Paula Camargo Martins with:
Ana Paula Camargo Martins Brazil
Arad Dotan Israel
Alyssa Harbaugh United States
Maria Ntinopoulou Greece
Olha Halyabar United States
Axel Rosell Sweden
Raphaël Cauchois France
Heather Maioli United States
Anuja Java United States
James Szymanski United States
Jintao Wang relative to Ana Paula Camargo Martins Brazil Ana Paula Camargo Martins's profile →
Citations per field
00.5×2×3×3.7×
Ana Paula Camargo Martins · 1×
Citations per year

Countries citing papers authored by Jintao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jintao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Prothrombotic autoantibodies in serum from patients hospitalized with COVID-19
Hit paper breakdown →
2020412
2 202221
3 202121
4 202420
5 202213
6 202211
7 20218
8 20064
9 20244
10 20213
11 20232
12 20252
13 20212
14
[Effect of stiletto needle intervention combined with massage on dysfunction and pain of knee-joints in patients with knee osteoarthrosis].
20122
15 20251
16 20201
17 20251
18 20091
19 20250

About Jintao Wang

Jintao Wang is a scholar working on Molecular Biology, Surgery, Immunology, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 529 indexed citations. Recurring topics across this work include Peripheral Artery Disease Management (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Immune Response and Inflammation (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper), Medical Image Segmentation Techniques (1 paper), Transcranial Magnetic Stimulation Studies (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Dementia and Cognitive Impairment Research (1 paper). The work is most often cited by research in Infectious Diseases (233 citations), Neurology (141 citations), Internal Medicine (18 citations), Immunology (95 citations) and Rheumatology (53 citations). Jintao Wang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Srilakshmi Yalavarthi, Yogendra Kanthi, James H. Morrissey, Shanea K. Estes, Njira Lugogo, Jason S. Knight, Jacqueline A. Madison, Vinita Yadav, Alex A. Gandhi and Ramadan A. Ali. Their work appears in journals such as Alzheimer s Research & Therapy, BMC Medicine, IEEE Transactions on Medical Imaging, Neurological Sciences and Clinical Immunology.

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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