Long Di

857 citations
44 papers · 530 indexed · h-index 14

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research

Papers in

    • Glioma Diagnosis and Treatment 21
    • Traumatic Brain Injury and Neurovascular Disturbances 5
    • Vascular Malformations Diagnosis and Treatment 5
    • Neurosurgical Procedures and Complications 3

Long Di

40 papers receiving 523 citations

Peers

Long Di
Comparison fields: 5 of 86
  • Genetics 237
  • Biophysics 49
  • Health Informatics 9
  • Neurology 100
  • Radiology, Nuclear Medicine and Imaging 104
Replace Alexander Micko with:
Alexander Micko Austria
Christopher A. Sarkiss United States
Jan Coburger Germany
Chris Y. Wu United States
Sanjay Dhawan United States
Oluwaseun O. Akinduro United States
Alessandro Villa Italy
Henri‐Arthur Leroy France
Christina Wendl Germany
Andrea Saladino Italy
Long Di relative to Alexander Micko Austria Alexander Micko's profile →
Citations per field
00.5×1.5×2.3×
Alexander Micko · 1×
Citations per year

Countries citing papers authored by Long Di

Since Specialization
Citations

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

Fields of papers citing papers by Long Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20241
5 20241
6 20233
7 20237
8 202254
9 202211
10 202213
11 20216
12 202113
13 20201
14 202021
15 202042
16 20207
17 202015
18 20202
19 201935
20 201911

About Long Di

Long Di is a scholar working on Genetics, Neurology, Health Informatics, Biophysics and Radiation, having authored 44 papers that have together received 530 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (21 papers), Meningioma and schwannoma management (12 papers), Cerebrospinal fluid and hydrocephalus (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Vascular Malformations Diagnosis and Treatment (5 papers), Advanced Radiotherapy Techniques (4 papers), Brain Metastases and Treatment (3 papers) and Neurosurgical Procedures and Complications (3 papers). The work is most often cited by research in Genetics (237 citations), Biophysics (49 citations), Health Informatics (9 citations), Neurology (100 citations) and Radiology, Nuclear Medicine and Imaging (104 citations). Long Di has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Daniel G. Eichberg, Michael E. Ivan, Ricardo J. Komotar, Ashish H. Shah, Evan Luther, Victor M. Lu, Alexa Semonche, Allan D. Levi, Sakir H. Gultekin and Aria Jamshidi. Their work appears in journals such as World Neurosurgery, Journal of Neuro-Oncology, Neurosurgery, Operative Neurosurgery and Journal of Clinical Medicine.

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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