Min Ruan

553 citations
66 papers · 321 · h-index 9

Impact in

Papers in

Min Ruan

56 papers receiving 317 citations

Peers

Min Ruan
Comparison fields: 5 of 43
  • Hematology 170
  • Public Health, Environmental and Occupational Health 70
  • Oncology 62
  • Genetics 22
  • Pediatrics, Perinatology and Child Health 38
Replace Wenyu Yang with:
Wenyu Yang China
Ansu Abu Alex India
Elva Jiménez‐Hernández Mexico
Stefano D’Ardìa Italy
Shu‐Huey Chen Taiwan
Katia Girardi Italy
Ching‐Hon Pui United States
Tsuneaki Hirakawa Japan
Kiyomi Morita United States
Jinsong Jia China
Min Ruan relative to Wenyu Yang China Wenyu Yang's profile →
Citations per field
00.5×2.7×
Wenyu Yang · 1×
Citations per year

Countries citing papers authored by Min Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Min Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201361
2 202041
3 201916
4 201415
5 202013
6 201813
7 202312
8 202110
9 20128
10 20217
11 20167
12 20197
13 20226
14 20255
15 20225
16 20225
17 20245
18 20225
19
[Treatment outcome of childhood standard-risk and median-risk acute lymphoblastic leukemia with CCLG-2008 protocol].
20145
20 20215

About Min Ruan

Min Ruan is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Oncology and Cancer Research, having authored 66 papers that have together received 321 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (25 papers), Acute Lymphoblastic Leukemia research (14 papers), Hematopoietic Stem Cell Transplantation (6 papers), Neutropenia and Cancer Infections (5 papers), Cancer Genomics and Diagnostics (4 papers), Hematological disorders and diagnostics (4 papers), RNA modifications and cancer (4 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Hematology (170 citations), Public Health, Environmental and Occupational Health (70 citations), Oncology (62 citations), Genetics (22 citations) and Pediatrics, Perinatology and Child Health (38 citations). Min Ruan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaofan Zhu, Yao Zou, Yumei Chen, Xiaojuan Chen, Ye Guo, Wenyu Yang, Shuchun Wang, Lixian Chang, Li Zhang and Xiaoming Liu. Their work appears in journals such as Frontiers in Oncology, International Journal of Hematology, Clinical Cancer Research, Blood and Cancer Medicine.

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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