Long Di
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
- Co-authors
- Daniel G. Eichberg (28 shared papers)Michael E. Ivan (26 shared papers)Ricardo J. Komotar (25 shared papers)Ashish H. Shah (28 shared papers)Evan Luther (25 shared papers)Victor M. Lu (16 shared papers)Alexa Semonche (5 shared papers)Allan D. Levi (4 shared papers)
- Journals
- World Neurosurgery (8 papers)Journal of Neuro-Oncology (7 papers)Operative Neurosurgery (3 papers)Neurosurgery (3 papers)Neurosurgical FOCUS (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Long Di
40 papers receiving 563 citations
Peers
Comparison fields: 5 of 84
- Genetics 189
- Biophysics 42
- Neurology 56
- Health Informatics 4
- Radiology, Nuclear Medicine and Imaging 53
Countries citing papers authored by Long Di
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
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-authors
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.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 59 | |
| 2 | 2020 | 58 | |
| 3 | 2020 | 44 | |
| 4 | 2021 | 43 | |
| 5 | 2019 | 37 | |
| 6 | 2020 | 30 | |
| 7 | 2021 | 28 | |
| 8 | 2021 | 27 | |
| 9 | 2020 | 21 | |
| 10 | 2022 | 19 | |
| 11 | 2019 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2019 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2019 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2021 | 13 | |
| 19 | 2019 | 12 | |
| 20 | 2022 | 11 |
About Long Di
Long Di is a scholar working on Genetics, Surgery, Neurology, Epidemiology and Molecular Biology, having authored 46 papers that have together received 570 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (10 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Telemedicine and Telehealth Implementation (2 papers), Neurosurgical Procedures and Complications (2 papers), Head and Neck Surgical Oncology (2 papers), Spinal Fractures and Fixation Techniques (2 papers) and Meningioma and schwannoma management (2 papers). The work is most often cited by research in Genetics (189 citations), Biophysics (42 citations), Neurology (56 citations), Health Informatics (4 citations) and Radiology, Nuclear Medicine and Imaging (53 citations). Long Di has collaborated with scholars based in United States, China and Japan. 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, Anil Mahavadi and Aria Jamshidi. Their work appears in journals such as World Neurosurgery, Journal of Neuro-Oncology, Operative Neurosurgery, Neurosurgery 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.