Xiaoke Di

797 citations
25 papers · 627 · h-index 12

Impact in

  • Hematology top 5%
    • Iron Metabolism and Disorders
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

Xiaoke Di

23 papers receiving 625 citations

Peers

Xiaoke Di
Comparison fields: 5 of 76
  • Hematology 185
  • Genetics 108
  • Cancer Research 127
  • Nutrition and Dietetics 119
  • Pulmonary and Respiratory Medicine 156
Replace Tim Kute with:
Tim Kute United States
François Wilhelm United States
Giorgia Federico Italy
Hideyuki Yasuno United States
Zhimin Gu United States
Maria Quiles del Rey United States
Jacqueline Maier Germany
Elżbieta Gocek Poland
Koji Miyagawa Japan
Sina Oppermann Germany
Xiaoke Di relative to Tim Kute United States Tim Kute's profile →
Citations per field
00.5×1.5×2.2×
Tim Kute · 1×
Citations per year

Countries citing papers authored by Xiaoke Di

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoke Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010324
2 201841
3 202038
4 201735
5 201826
6 202320
7 201718
8 201214
9 202112
10 202212
11 201812
12 202211
13 202110
14 20249
15 20239
16 20238
17 20198
18 20227
19 20217
20 20233

About Xiaoke Di

Xiaoke Di is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Cancer Research, having authored 25 papers that have together received 627 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (9 papers), Gastric Cancer Management and Outcomes (6 papers), Cancer-related molecular mechanisms research (4 papers), Esophageal and GI Pathology (4 papers), RNA modifications and cancer (4 papers), MicroRNA in disease regulation (2 papers), Cancer Cells and Metastasis (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Hematology (185 citations), Genetics (108 citations), Cancer Research (127 citations), Nutrition and Dietetics (119 citations) and Pulmonary and Respiratory Medicine (156 citations). Xiaoke Di has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ralph B. D’Agostino, Heather Hatcher, Mark C. Willingham, Wei Wang, Frank M. Torti, Lia Tesfay, Timothy E. Kute, Guodong Sui, Lance D. Miller and Suzy V. Torti. Their work appears in journals such as Medicine, Frontiers in Oncology, Asian Journal of Andrology, International Journal of Surgery and Radiotherapy and Oncology.

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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