Sheng Zhang

6.9k citations
121 papers · 4.2k indexed · 2 hit papers · h-index 27

Impact in

Papers in

    • Cancer Immunotherapy and Biomarkers 16
    • Colorectal Cancer Treatments and Studies 10
    • HER2/EGFR in Cancer Research 6

Sheng Zhang

117 papers receiving 4.2k citations

Hit Papers

Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series 2020 · 1.5k citations
1.5k20122026201620214008001.2k

Peers

Sheng Zhang
Comparison fields: 5 of 152
  • Infectious Diseases 1.7k
  • Otorhinolaryngology 402
  • Neurology 735
  • Modeling and Simulation 203
  • Oncology 1.2k
Replace Umberto Tirelli with:
Umberto Tirelli Italy
Urania Dafni Greece
Ali Gholamrezanezhad United States
Michel M. van den Heuvel Netherlands
Melvin L.K. Chua Singapore
Michael von Bergwelt‐Baildon Germany
Frank Hulstaert Belgium
Amy Ming‐Fang Yen Taiwan
Chris Brown Australia
Sheng Zhang relative to Umberto Tirelli Italy Umberto Tirelli's profile →
Citations per field
00.5×10×15×20×22.6×
Umberto Tirelli · 1×
Citations per year

Countries citing papers authored by Sheng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20241
4 20234
5 20231
6 20233
7 20231
8 202213
9 20224
10 202212
11 20218
12 202034
13 202020
14 202010
15 201718
16 20163
17 201619
18 201418
19 20116
20 20072

About Sheng Zhang

Sheng Zhang is a scholar working on Oncology, Biological Psychiatry, Radiation, Pulmonary and Respiratory Medicine and Leadership and Management, having authored 121 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Colorectal Cancer Treatments and Studies (10 papers), COVID-19 Clinical Research Studies (9 papers), Advanced Radiotherapy Techniques (8 papers), Lung Cancer Treatments and Mutations (7 papers), HER2/EGFR in Cancer Research (6 papers) and SARS-CoV-2 detection and testing (6 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Otorhinolaryngology (402 citations), Neurology (735 citations), Modeling and Simulation (203 citations) and Oncology (1.2k citations). Sheng Zhang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Lingjun Ying, Kaijin Xu, Huaying Wang, Hongliu Cai, Xiaoxin Wu, Lanjuan Li, Xiaowei Xu, Jifang Sheng, Xiangao Jiang and Yunqing Qiu. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Oncotarget, Clinical Infectious Diseases and OncoTargets and Therapy.

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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