Ning Ding

2.7k citations
87 papers · 1.5k · h-index 22

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Cancer-related molecular mechanisms research

Papers in

Ning Ding

78 papers receiving 1.5k citations

Peers

Ning Ding
Comparison fields: 5 of 155
  • Genetics 174
  • Cancer Research 168
  • Pathology and Forensic Medicine 189
  • Oncology 264
  • Immunology 190
Replace Roy Xiao with:
Roy Xiao United States
Bhupinder Mann United Kingdom
Christine Lefebvre France
Benjamin Kasenda Switzerland
A. M. Peters United Kingdom
Julio A. Díaz-Pérez United States
Hee Kyung Ahn South Korea
Andreas Trojan Switzerland
Anjali Gupta United States
Rajesh Malik United States
Ning Ding relative to Roy Xiao United States Roy Xiao's profile →
Citations per field
00.5×3.1×
Roy Xiao · 1×
Citations per year

Countries citing papers authored by Ning Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019238
2 2014125
3 201783
4 201778
5 201454
6 201654
7 201951
8 201244
9 201442
10 202041
11 202138
12 202135
13 201929
14 201929
15
Life cycle inventory analysis of fossil energy in China.
201527
16 201427
17 201627
18 201726
19 201924
20 202024

About Ning Ding

Ning Ding is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Genetics and Biomedical Engineering, having authored 87 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (10 papers), RNA modifications and cancer (7 papers), Nanoplatforms for cancer theranostics (5 papers), Epigenetics and DNA Methylation (4 papers), Immune Cell Function and Interaction (4 papers), Orbital Angular Momentum in Optics (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Genetics (174 citations), Cancer Research (168 citations), Pathology and Forensic Medicine (189 citations), Oncology (264 citations) and Immunology (190 citations). Ning Ding has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Deliang Wen, Jun Zhu, Ying Chen, Yongchang Sun, Qingxia Du, Teming Zhang, Honghe Li, Xiangyang Xue, Yang Liu and Zhengying Pan. Their work appears in journals such as Cancer Cell International, PLoS ONE, Hematological Oncology, BMJ Open and Blood.

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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