Hongmin Wang

104 papers receiving 5.1k citations

Hit Papers

Apoptosis-inducing factor mediates poly(ADP-ribose) (PAR) polymer-induced cell death 2006 · 612 citations
612200220262010201850010001.5k

Peers

Hongmin Wang
Comparison fields: 5 of 117
  • Physiology 343
  • Oncology 1.6k
  • Molecular Biology 3.4k
  • Geriatrics and Gerontology 188
  • Neurology 317
Replace Shaida A. Andrabi with:
Shaida A. Andrabi United States
Donat Kögel Germany
Zhijun Luo United States
Myriam Baes Belgium
Sean P. Cregan Canada
Darren A.E. Cross United Kingdom
Marc F. Poitras Canada
Dong‐Hyung Cho South Korea
Anton M. Bennett United States
Scott A. Oakes United States
Hongmin Wang relative to Shaida A. Andrabi United States Shaida A. Andrabi's profile →
Citations per field
00.5×1.5×
Shaida A. Andrabi · 1×
Citations per year

Countries citing papers authored by Hongmin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongmin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20246
4 20241
5 202322
6 20222
7 20214
8 201830
9 20172
10 201655
11 201430
12 201460
13 201315
14
Effect and Safety of the Newcastle Disease Virus Combined with Chemotherapy for Patients with Advanced Non-small Cell Lung Cancer
20121
15 20129
16 201218
17 2008183
18 200720
19 2004236
20
Mediation of Poly(ADP-Ribose) Polymerase-1-Dependent Cell Death by Apoptosis-Inducing Factor
Hit paper breakdown →
20021523

About Hongmin Wang

Hongmin Wang is a scholar working on Aging, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Oncology, having authored 111 papers that have together received 5.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (19 papers), Mitochondrial Function and Pathology (13 papers), Genetic Neurodegenerative Diseases (9 papers), RNA modifications and cancer (9 papers), Autophagy in Disease and Therapy (9 papers), PARP inhibition in cancer therapy (7 papers), Alzheimer's disease research and treatments (7 papers) and DNA Repair Mechanisms (6 papers). The work is most often cited by research in Physiology (343 citations), Oncology (1.6k citations), Molecular Biology (3.4k citations), Geriatrics and Gerontology (188 citations) and Neurology (317 citations). Hongmin Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Valina L. Dawson, Ted M. Dawson, Guy G. Poirier, Seong-Woon Yu, William J. Bowers, Howard J. Federoff, Marc F. Poitras, Seong-Woon Yu, Shaida A. Andrabi and Mervyn J. Monteiro. Their work appears in journals such as Journal of Neurochemistry, Biochemical and Biophysical Research Communications, Cellular and Molecular Neurobiology, Human Molecular Genetics and Proceedings of the National Academy of Sciences.

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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