Xiaoke Di

829 citations
28 papers · 657 · h-index 13

Impact in

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

Papers in

    • Esophageal Cancer Research and Treatment 5
    • Colorectal and Anal Carcinomas 2
    • RNA modifications and cancer 5

Xiaoke Di

24 papers receiving 654 citations

Peers

Xiaoke Di
Comparison fields: 5 of 70
  • Hematology 170
  • Genetics 96
  • Cancer Research 109
  • Nutrition and Dietetics 111
  • Oncology 108
Replace Giorgia Federico with:
Giorgia Federico Italy
Tim Kute United States
Maria Quiles del Rey United States
Zhimin Gu United States
Koji Miyagawa Japan
Sina Oppermann Germany
Bincy Paul Kuwait
Séverine Cunat France
Elżbieta Gocek Poland
Robert S. Gronke United States
Xiaoke Di relative to Giorgia Federico Italy Giorgia Federico's profile →
Citations per field
00.5×1.5×1.8×
Giorgia Federico · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010326
2 201843
3 202040
4 201736
5 201826
6 202323
7 201721
8 201214
9 202413
10 202213
11 201812
12 202212
13 202112
14 202311
15 202110
16 20239
17 20238
18 20198
19 20227
20 20217

About Xiaoke Di

Xiaoke Di is a scholar working on Surgery, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 28 papers that have together received 657 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (5 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers), Medicinal Plant Pharmacodynamics Research (2 papers), Colorectal and Anal Carcinomas (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Hematology (170 citations), Genetics (96 citations), Cancer Research (109 citations), Nutrition and Dietetics (111 citations) and Oncology (108 citations). Xiaoke Di has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Lance D. Miller, Heather Hatcher, Ralph B. D’Agostino, Lia Tesfay, Wei Wang, Mark C. Willingham, Suzy V. Torti, Frank M. Torti, Guodong Sui and Timothy E. Kute. Their work appears in journals such as Medicine, Frontiers in Oncology, Oncogene, International Immunopharmacology and Cancer Management and Research.

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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