Jack Jiang

1.6k citations
17 papers · 1.2k · h-index 14

Impact in

Papers in

Jack Jiang

17 papers receiving 1.2k citations

Peers

Jack Jiang
Comparison fields: 5 of 113
  • Neurology 80
  • Biological Psychiatry 19
  • Pulmonary and Respiratory Medicine 242
  • Biotechnology 72
  • Biomedical Engineering 323
Replace Kai Tang with:
Kai Tang China
Yongjian Zhou China
Xavier Clemente‐Casares Canada
Giorgio Mangino Italy
Kamir J. Hiam-Galvez United States
Yuan Cao China
Pakawat Chongsathidkiet United States
Hiroki Mori Japan
Kaiting Yang United States
Jack Jiang relative to Kai Tang China Kai Tang's profile →
Citations per field
00.5×4.2×
Kai Tang · 1×
Citations per year

Countries citing papers authored by Jack Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Jack Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2018193
2 2014165
3 2014136
4 2018125
5
Optimization of the enhanced permeability and retention effect for near-infrared imaging of solid tumors with indocyanine green.
2015124
6 2014113
7 201684
8 201576
9 201569
10 201541
11 201533
12 201530
13 201319
14 201518
15 20158
16 20148
17 20151

About Jack Jiang

Jack Jiang is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Molecular Biology, Biotechnology and Surgery, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (4 papers), Cancer Research and Treatments (3 papers), Renal cell carcinoma treatment (2 papers), Photodynamic Therapy Research Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Ferroptosis and cancer prognosis (1 paper) and Esophageal Cancer Research and Treatment (1 paper). The work is most often cited by research in Neurology (80 citations), Biological Psychiatry (19 citations), Pulmonary and Respiratory Medicine (242 citations), Biotechnology (72 citations) and Biomedical Engineering (323 citations). Jack Jiang has collaborated with scholars based in United States and China. Frequent co-authors include Sunil Singhal, Ryan Judy, Olugbenga T. Okusanya, Zhilong Jiang, Guang‐Xian Zhang, Shuming Nie, Jane Keating, Ollin Venegas, Charuhas Deshpande and Philip S. Low. Their work appears in journals such as The Journal of Urology, Molecular Imaging and Biology, PLoS ONE, Journal of Surgical Oncology and Proceedings of the National Academy of Sciences.

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.

Explore authors with similar magnitude of impact