Na Wang

3.9k citations
191 papers · 2.7k indexed · 2 hit papers · h-index 27

Impact in

Papers in

    • Acute Myeloid Leukemia Research 19
    • Hematopoietic Stem Cell Transplantation 17

Na Wang

168 papers receiving 2.7k citations

Hit Papers

Intratumoral microbiome: implications for immune modulation and innovative therapeutic strategies in cancer 2025 · 22 citations
222016202620192022100200300

Peers

Na Wang
Comparison fields: 5 of 151
  • Cancer Research 305
  • Physiology 88
  • Hematology 206
  • Genetics 181
  • Molecular Biology 1.0k
Replace Jian Song with:
Jian Song China
Wei Zhang China
Christine A. Wells Australia
Albert Tai United States
Maya Saleh Canada
Ryuichi Okamoto Japan
Jin Zhang China
Adam Lacy‐Hulbert United States
R N MacSween United Kingdom
Hongtao Liu United States
Na Wang relative to Jian Song China Jian Song's profile →
Citations per field
00.5×1.5×2.0×
Jian Song · 1×
Citations per year

Countries citing papers authored by Na Wang

Since Specialization
Citations

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

Fields of papers citing papers by Na Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20247
5 20242
6 20243
7 20233
8 20230
9 20233
10 20232
11 20226
12 20212
13 20203
14 202018
15 20193
16 20193
17
Effects of Gli Silencing with Small Interfering RNA on the Malignant Biological Behavior of Esophageal Squamous Carcinoma KYSE-30 Cells
20161
18 20144
19
Association of XRCC1 polymorphism with risk of gastric cardiac adenocarcinoma.
20091
20
Studies on anthocyanin biosynthesis and activities of related enzymes of 'Ralls' and its bud mutation.
20093

About Na Wang

Na Wang is a scholar working on Hematology, Genetics, Physiology, Molecular Biology and Horticulture, having authored 191 papers that have together received 2.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (19 papers), Hematopoietic Stem Cell Transplantation (17 papers), Epigenetics and DNA Methylation (12 papers), Acute Lymphoblastic Leukemia research (9 papers), RNA modifications and cancer (8 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Lymphoma Diagnosis and Treatment (7 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Cancer Research (305 citations), Physiology (88 citations), Hematology (206 citations), Genetics (181 citations) and Molecular Biology (1.0k citations). Na Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Songlin Chen, Jihui Jia, Ge Zheng, Chuan Qin, George F. Gao, Magnus Björkholm, Xuancheng Lu, Lina Jia, Yong Zhang and Xiangdong Li. Their work appears in journals such as Frontiers in Oncology, Frontiers in Immunology, Medicine, PLoS ONE and Journal of Biological Chemistry.

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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