Hong Yang

5.3k citations
177 papers · 3.5k indexed · h-index 30

Impact in

Papers in

    • Cancer-related molecular mechanisms research 27
    • MicroRNA in disease regulation 21
    • Hepatocellular Carcinoma Treatment and Prognosis 13

Hong Yang

165 papers receiving 3.5k citations

Peers

Hong Yang
Comparison fields: 5 of 143
  • Clinical Biochemistry 583
  • Cancer Research 749
  • Physiology 820
  • Health Informatics 35
  • Endocrinology, Diabetes and Metabolism 408
Replace Jinliang Xing with:
Jinliang Xing China
Markus Bitzer United States
Ferdinand H. Bahlmann Germany
David S. McClintock United States
Cullen M. Taniguchi United States
Magnus Söderberg Sweden
Jie Lin United States
Maria Pia Rastaldi Italy
Daniela A. Bota United States
Davide Franceschini Italy
Hong Yang relative to Jinliang Xing China Jinliang Xing's profile →
Citations per field
00.5×5.8×
Jinliang Xing · 1×
Citations per year

Countries citing papers authored by Hong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20243
4 20241
5 20245
6 20241
7 20239
8 20234
9 20234
10 202115
11 202115
12 20218
13 202055
14 201812
15 201713
16 20178
17 20125
18 200840
19 200824
20 200419

About Hong Yang

Hong Yang is a scholar working on Cancer Research, Hepatology, Clinical Biochemistry, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 177 papers that have together received 3.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (29 papers), Cancer-related molecular mechanisms research (27 papers), RNA modifications and cancer (21 papers), MicroRNA in disease regulation (21 papers), Diet and metabolism studies (19 papers), Liver Disease Diagnosis and Treatment (18 papers), Ferroptosis and cancer prognosis (16 papers) and Hepatocellular Carcinoma Treatment and Prognosis (13 papers). The work is most often cited by research in Clinical Biochemistry (583 citations), Cancer Research (749 citations), Physiology (820 citations), Health Informatics (35 citations) and Endocrinology, Diabetes and Metabolism (408 citations). Hong Yang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Darryl C. De Vivo, Peng Lin, Gang Chen, Kristin Engelstad, Juan M. Pascual, Dong Wang, Yun He, Yi‐Wu Dang, Dong‐yue Wen and Dong Wang. Their work appears in journals such as Journal of Ultrasound in Medicine, Oncotarget, Cellular Physiology and Biochemistry, Frontiers in Oncology and Annals of Neurology.

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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