Boting Ning

10 papers receiving 184 citations

Peers

Boting Ning
Comparison fields: 5 of 58
  • Cell Biology 42
  • Psychiatry and Mental health 28
  • Cancer Research 25
  • Critical Care and Intensive Care Medicine 7
  • Cognitive Neuroscience 24
Replace Lena‐Luise Becker with:
Lena‐Luise Becker Germany
Lorella Caffi Italy
Amber Begtrup United States
Wenli Gu China
Ping Yee Billie Au Canada
Marion I. Stunault United States
Tianyou Yuan China
Daphne Dubach Australia
Enrico Alfei Italy
Benjamin Kamien Australia
Boting Ning relative to Lena‐Luise Becker Germany Lena‐Luise Becker's profile →
Citations per field
00.5×
Lena‐Luise Becker · 1×
Citations per year

Countries citing papers authored by Boting Ning

Since Specialization
Citations

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

Fields of papers citing papers by Boting Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202141
2 201741
3 202134
4 202217
5 202315
6 201515
7 20238
8 20157
9
Identification of pathway-related modules in high-grade osteosarcoma based on topological centrality of network strategy.
20165
10 20221

About Boting Ning

Boting Ning is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 10 papers that have together received 184 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (3 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (2 papers), DNA Repair Mechanisms (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Cell Biology (42 citations), Psychiatry and Mental health (28 citations), Cancer Research (25 citations), Critical Care and Intensive Care Medicine (7 citations) and Cognitive Neuroscience (24 citations). Boting Ning has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jennifer Beane, Marc E. Lenburg, Xaralabos Varelas, Andrew Tilston-Lünel, Anthony Federico, Stefano Monti, Adeline Matschulat, Julia Hicks‐Berthet, Xingbin Ai and Irina Bruck. Their work appears in journals such as Journal of Alzheimer s Disease, Nature Communications, Cell Reports, Translational Psychiatry 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.

Explore authors with similar magnitude of impact