Tao Ji
- Surgery top 5%
- Oncology top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 5%
- Cancer Research top 10%
- Co-authors
- Christine LihouLuis FélizHui‐Ling ZhenGhassan K. Abou‐AlfaEric Van CutsemDo‐Youn OhAndrew Scott PaulsonMitesh J. Borad
- Topics
- Fibroblast Growth Factor Research (11 papers)Neuroendocrine Tumor Research Advances (6 papers)Chronic Myeloid Leukemia Treatments (6 papers)
- Cited by
- OncologySurgeryCancer Research
- Journals
- The LancetJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaGermany
In The Last Decade
Tao Ji
28 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Surgery 833
- Oncology 637
- Molecular Biology 489
- Pulmonary and Respiratory Medicine 400
- Cancer Research 200
Countries citing papers authored by Tao Ji
This map shows the geographic impact of Tao Ji'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 Tao Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Ji more than expected).
Fields of papers citing papers by Tao Ji
This network shows the impact of papers produced by Tao Ji. 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 Tao Ji. The network helps show where Tao Ji may publish in the future.
Co-authorship network of co-authors of Tao Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Ji. A scholar is included among the top collaborators of Tao Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tao Ji. Tao Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 2 | |
| 5 | 125 | |
| 6 | 13 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 172 | |
| 11 | Pemigatinib for previously treated, locally advanced or metastatic cholangiocarcinoma: a multicentre, open-label, phase 2 studybreakdown → | 975 |
| 12 | Clinical characteristics and prognosis of COVID-19 patients with initial presentation of lung lesions confined to a single pulmonary lobe. | 12 |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | 31 | |
| 17 | 4 | |
| 18 | [Study in the killing effect of Myxoma virus to C6 glioma cell in vitro]. | 1 |
| 19 | 1 | |
| 20 | 47 |
About Tao Ji
Tao Ji is a scholar working on Hematology, Oncology and Pulmonary and Respiratory Medicine, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (11 papers), Neuroendocrine Tumor Research Advances (6 papers) and Chronic Myeloid Leukemia Treatments (6 papers). The work is most often cited by research in Oncology (637 citations), Surgery (833 citations) and Cancer Research (200 citations). Tao Ji has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Christine Lihou, Luis Féliz, Hui‐Ling Zhen, Ghassan K. Abou‐Alfa, Eric Van Cutsem, Do‐Youn Oh, Andrew Scott Paulson, Mitesh J. Borad, Arndt Vogel and Adrian Murphy. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.