Cong Hu

543 citations
25 papers · 378 · h-index 13

Impact in

Papers in

Cong Hu

23 papers receiving 376 citations

Peers

Cong Hu
Comparison fields: 5 of 82
  • Developmental Neuroscience 20
  • Psychiatry and Mental health 51
  • Critical Care and Intensive Care Medicine 12
  • Cancer Research 37
  • Oncology 65
Replace Jijie Hu with:
Jijie Hu China
Björn Müller‐Edenborn Germany
Wen‐Yu Lin Taiwan
Junming Ye China
Qianbo Chen China
Hui Yao China
Xin Yi China
Weiwei Yan China
Zailiang Yang China
Tailong Yi China
Cong Hu relative to Jijie Hu China Jijie Hu's profile →
Citations per field
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Jijie Hu · 1×
Citations per year

Countries citing papers authored by Cong Hu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202176
2 201543
3 201929
4 201721
5
TMEM16A as a Potential Biomarker in the Diagnosis and Prognosis of Lung Cancer.
201921
6 202120
7 202019
8 202017
9 202117
10 202115
11 201814
12 202313
13 201213
14 20229
15 20238
16 20208
17 20207
18 20206
19 20196
20 20226

About Cong Hu

Cong Hu is a scholar working on Molecular Biology, Psychiatry and Mental health, Oncology, Biomedical Engineering and Organic Chemistry, having authored 25 papers that have together received 378 indexed citations. Recurring topics across this work include Cancer, Stress, Anesthesia, and Immune Response (6 papers), Nanoplatforms for cancer theranostics (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Advanced Polymer Synthesis and Characterization (2 papers), RNA Interference and Gene Delivery (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Developmental Neuroscience (20 citations), Psychiatry and Mental health (51 citations), Critical Care and Intensive Care Medicine (12 citations), Cancer Research (37 citations) and Oncology (65 citations). Cong Hu has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Qingquan Lian, Daqing Ma, Li Liu, Hui Liang, Depeng Jiang, Masae Iwasaki, Hailin Zhao, Han Lin, Junichi Saito and Masashi Ishikawa. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, Cell Biology and Toxicology, European Journal of Pharmacology, Journal of Advanced Research and Medicine.

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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