Xin Ji

4.8k citations
145 papers · 3.0k · 1 hit paper · h-index 29

Impact in

Papers in

Xin Ji

138 papers receiving 3.0k citations

Hit Papers

Cellulose‐Based pH‐Responsive Janus Dressing with Unidirectional Moisture Drainage for Exudate Management and Diabetic Wounds Healing 2023 · 109 citations
1090+1+2Years since publication255075100

Peers

Xin Ji
Comparison fields: 5 of 155
  • Biochemistry 557
  • Spectroscopy 646
  • Gastroenterology 156
  • Biomaterials 347
  • Biomedical Engineering 817
Replace Shinichiro Kobayashi with:
Shinichiro Kobayashi Japan
Masaki Satō Japan
Kae Nakamura Japan
Hongyi Zhang China
Masahiko Yamaguchi Japan
Kenji Nakamura Japan
Ying Tian China
Jidong Zhang China
Haolu Wang Australia
Paola Luciani Switzerland
Xin Ji relative to Shinichiro Kobayashi Japan Shinichiro Kobayashi's profile →
Citations per field
00.5×10×13×
Shinichiro Kobayashi · 1×
Citations per year

Countries citing papers authored by Xin Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xin Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019201
2
Cellulose‐Based pH‐Responsive Janus Dressing with Unidirectional Moisture Drainage for Exudate Management and Diabetic Wounds Healing
Hit paper breakdown →
2023109
3 2018109
4 2017104
5 202182
6 202181
7 201980
8 201880
9 202178
10 201777
11 201775
12 201872
13 202157
14 202057
15 202055
16 201654
17 201852
18 201551
19 202151
20 202251

About Xin Ji

Xin Ji is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Materials Chemistry and Oncology, having authored 145 papers that have together received 3.0k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (26 papers), Molecular Sensors and Ion Detection (18 papers), Luminescence and Fluorescent Materials (15 papers), Sulfur Compounds in Biology (15 papers), Nanoplatforms for cancer theranostics (14 papers), Metastasis and carcinoma case studies (14 papers), Gastrointestinal Tumor Research and Treatment (12 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers). The work is most often cited by research in Biochemistry (557 citations), Spectroscopy (646 citations), Gastroenterology (156 citations), Biomaterials (347 citations) and Biomedical Engineering (817 citations). Xin Ji has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Weili Zhao, Jian Zhang, Nannan Wang, Jiamin Wang, Zhaode Bu, Yuanfang Tao, Xiaochun Dong, Xiaojiang Wu, Jian Dai and Jiafu Ji. Their work appears in journals such as BMC Cancer, Journal of Medicinal Chemistry, ACS Nano, Theranostics and Chemistry - A European Journal.

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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