Ning Ding

2.6k citations
80 papers · 1.4k indexed · h-index 21

Impact in

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

Papers in

Ning Ding

71 papers receiving 1.4k citations

Peers

Ning Ding
Comparison fields: 5 of 155
  • Genetics 170
  • Cancer Research 220
  • Oncology 327
  • Pathology and Forensic Medicine 211
  • Immunology 220
Replace Shinobu Nakamura with:
Shinobu Nakamura Japan
Bhupinder Mann United Kingdom
Roy Xiao United States
Sandeep Mahajan India
Hongbo Yang United States
Li Zhong China
Xin Hu United States
Andrew R. Hallahan Australia
Michael Roth United States
Andreas Trojan Switzerland
Ning Ding relative to Shinobu Nakamura Japan Shinobu Nakamura's profile →
Citations per field
00.5×8.9×
Shinobu Nakamura · 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
#Work
1 20247
2 20241
3 20241
4 20240
5 20231
6 202310
7 20238
8 20234
9 20196
10 201928
11 201813
12 20170
13 201720
14 201716
15 201620
16
Life cycle inventory analysis of fossil energy in China.
201527
17 201426
18 20131
19
The Impact of Distribution Sector and Manufacturing Structural Adjustment
20100
20
The Study of Breakup Scale of Liquid Sheets under Heating Conditions
20032

About Ning Ding

Ning Ding is a scholar working on Pathology and Forensic Medicine, Family Practice, Genetics, Oncology and Immunology, having authored 80 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (12 papers), Immune Cell Function and Interaction (7 papers), RNA modifications and cancer (6 papers), Nanoplatforms for cancer theranostics (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Genetics (170 citations), Cancer Research (220 citations), Oncology (327 citations), Pathology and Forensic Medicine (211 citations) and Immunology (220 citations). Ning Ding has collaborated with scholars based in China, Ethiopia and Japan. Frequent co-authors include Ying Chen, Deliang Wen, Jun Zhu, Qingxia Du, Yongchang Sun, Xiangyang Xue, Honghe Li, Teming Zhang, Zhengying Pan and Zhengchun Kang. Their work appears in journals such as Cancer Cell International, BMJ Open, Hematological Oncology, PLoS ONE and Journal of Cellular Biochemistry.

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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