Heng Du

1.7k citations
74 papers · 1.1k indexed · h-index 19

Heng Du

67 papers receiving 1.1k citations

Peers

Heng Du
Comparison fields: 5 of 94
  • Oncology 399
  • Pulmonary and Respiratory Medicine 373
  • Cancer Research 151
  • Physiology 216
  • Pathology and Forensic Medicine 99
Replace Nisha Nanda with:
Nisha Nanda United States
Kiyotaka Nagahama Japan
Mai Matsumura Japan
Lavinia Maegel Germany
Koshi Fujikawa Japan
Désirée Tampe Germany
Wolfgang M. Brueckl Germany
Masanobu Kiriyama Japan
Tomoko Hayashida United States
Thomas Dreyer Germany
Heng Du relative to Nisha Nanda United States Nisha Nanda's profile →
Citations per field
00.5×5.5×
Nisha Nanda · 1×
Citations per year

Countries citing papers authored by Heng Du

Since Specialization
Citations

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

Fields of papers citing papers by Heng Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20251
5 20246
6 202416
7 20240
8 20237
9 202355
10 202326
11 20216
12 202117
13
Evaluating the Performance of p16INK4a Immunocytochemistry in Cervical Cancer Screening
20201
14
Metabolic Syndrome Predicts Poor Outcome in Acute Ischemic Stroke Patients After Endovascular Thrombectomy
20201
15 202027
16 201917
17 201923
18 20178
19 201714
20 20163

About Heng Du

Heng Du is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Physiology, Cancer Research and Internal Medicine, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (15 papers), Lung Cancer Diagnosis and Treatment (11 papers), Vascular Tumors and Angiosarcomas (8 papers), Renal cell carcinoma treatment (7 papers), Lung Cancer Treatments and Mutations (6 papers), Spine and Intervertebral Disc Pathology (5 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers) and Histiocytic Disorders and Treatments (4 papers). The work is most often cited by research in Oncology (399 citations), Pulmonary and Respiratory Medicine (373 citations), Cancer Research (151 citations), Physiology (216 citations) and Pathology and Forensic Medicine (99 citations). Heng Du has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Guowei Che, Shuangjiang Li, Jun Fan, David J. Kwiatkowski, Yubin Zhou, Jian Huang, Dali Chen, Lunxu Liu, Elizabeth P. Henske and Cheng Shen. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Surgery, Arthritis Research & Therapy, Molecular Cancer Therapeutics and Cancer Research.

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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