Long Jin

545 citations
28 papers · 347 · h-index 12

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Neurology top 10%
    • Cerebral Venous Sinus Thrombosis
    • Vascular Malformations Diagnosis and Treatment

Papers in

    • Cerebrovascular and Carotid Artery Diseases 3
    • Medical Imaging and Pathology Studies 3
    • Lung Cancer Diagnosis and Treatment 3
    • Management of metastatic bone disease 2

Long Jin

28 papers receiving 333 citations

Peers

Long Jin
Comparison fields: 5 of 50
  • Internal Medicine 35
  • Neurology 128
  • Otorhinolaryngology 21
  • Pulmonary and Respiratory Medicine 119
  • Neurology 24
Replace Paola Scagnelli with:
Paola Scagnelli Italy
Pui‐Wai Cheng Hong Kong
Zafar Sajjad Pakistan
H. Creutzig Germany
W L Davis United States
Alessio Spinelli Italy
S Dechambre Belgium
Hwa Seon Shin South Korea
Gagandeep Choudhary United States
Hidenobu Takagi Japan
Long Jin relative to Paola Scagnelli Italy Paola Scagnelli's profile →
Citations per field
00.5×4.8×
Paola Scagnelli · 1×
Citations per year

Countries citing papers authored by Long Jin

Since Specialization
Citations

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

Fields of papers citing papers by Long Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 201739
3 201430
4 202125
5 202018
6 201417
7 202116
8 196616
9 201715
10 195713
11 202111
12 201811
13 201810
14 20207
15 20187
16 20216
17 20255
18 20214
19 20174
20 20223

About Long Jin

Long Jin is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Neurology, Pathology and Forensic Medicine and Oncology, having authored 28 papers that have together received 347 indexed citations. Recurring topics across this work include Cerebral Venous Sinus Thrombosis (8 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Medical Imaging and Pathology Studies (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Trigeminal Neuralgia and Treatments (3 papers), Acute Ischemic Stroke Management (2 papers) and Management of metastatic bone disease (2 papers). The work is most often cited by research in Internal Medicine (35 citations), Neurology (128 citations), Otorhinolaryngology (21 citations), Pulmonary and Respiratory Medicine (119 citations) and Neurology (24 citations). Long Jin has collaborated with scholars based in China, Vietnam and South Africa. Frequent co-authors include Tianhao Su, He Wen, Aike Qiao, Zhenchang Wang, Jun Xia, Shasha Cao, Shusheng Gong, Zhenghan Yang, Han Lv and Pengfei Zhao. Their work appears in journals such as European Radiology, Liver International, World Neurosurgery, Medicine and Neurosurgery.

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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