Long Di
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
- Genetics 11
- Glioma Diagnosis and Treatment 11
-
- Traumatic Brain Injury and Neurovascular Disturbances 3
- Vascular Malformations Diagnosis and Treatment 2
- Neurosurgical Procedures and Complications 2
- Co-authors
- Daniel G. Eichberg (29 shared papers)Michael E. Ivan (27 shared papers)Ricardo J. Komotar (25 shared papers)Ashish Harish Shah (29 shared papers)Evan Luther (26 shared papers)Victor M. Lu (16 shared papers)Alexa M. Semonche (6 shared papers)Allan D. Levi (3 shared papers)
- Journals
- World Neurosurgery (9 papers)Journal of Neuro-Oncology (7 papers)Operative Neurosurgery (3 papers)Journal of neurosurgery (2 papers)Neurosurgery (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Long Di
42 papers receiving 610 citations
Peers
Comparison fields: 5 of 86
- Genetics 203
- Biophysics 48
- Neurology 67
- Radiology, Nuclear Medicine and Imaging 59
- Health Informatics 4
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2022 | 62 | |
| 3 | 2021 | 46 | |
| 4 | 2020 | 45 | |
| 5 | 2019 | 42 | |
| 6 | 2020 | 31 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 30 | |
| 9 | 2020 | 23 | |
| 10 | 2022 | 20 | |
| 11 | 2019 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2019 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2022 | 12 |
About Long Di
Long Di is a scholar working on Genetics, Neurology, Surgery, Cellular and Molecular Neuroscience and Epidemiology, having authored 47 papers that have together received 618 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Spinal Fractures and Fixation Techniques (3 papers), Vascular Malformations Diagnosis and Treatment (2 papers), Meningioma and schwannoma management (2 papers), Neurosurgical Procedures and Complications (2 papers) and Spine and Intervertebral Disc Pathology (2 papers). The work is most often cited by research in Genetics (203 citations), Biophysics (48 citations), Neurology (67 citations), Radiology, Nuclear Medicine and Imaging (59 citations) and Health Informatics (4 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 Harish Shah, Evan Luther, Victor M. Lu, Alexa M. Semonche, Allan D. Levi, Sakir Humayun Gultekin and Aria M. Jamshidi. Their work appears in journals such as World Neurosurgery, Journal of Neuro-Oncology, Operative Neurosurgery, Journal of neurosurgery 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.