Manling Zhang

2.1k citations
46 papers · 1.5k indexed · h-index 19
Topics
Pluripotent Stem Cells Research (12 papers)CRISPR and Genetic Engineering (10 papers)Renal and related cancers (10 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Manling Zhang

43 papers receiving 1.5k citations

Peers

Manling Zhang
Comparison fields: 5 of 113
  • Molecular Biology 982
  • Cardiology and Cardiovascular Medicine 596
  • Physiology 266
  • Genetics 169
  • Immunology 135
Replace Elie R. Chemaly with:
Elie R. Chemaly United States
Geoffrey G. Hesketh United States
Mannix Auger‐Messier Canada
Larissa Lipskaia France
Shirin Doroudgar United States
Daniel L. Galvan United States
Cibele Rocha‐Resende Brazil
Sukhpal Prehar United Kingdom
Xi Fang United States
Jacqueline Ohanian United Kingdom
Manling Zhang relative to Elie R. Chemaly United States Elie R. Chemaly's profile →
Citations per field
00.5×1.5×1.9×
Elie R. Chemaly · 1×
Citations per year

Countries citing papers authored by Manling Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Manling Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manling Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Manling Zhang. A scholar is included among the top collaborators of Manling Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manling Zhang. Manling Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 6
5 3
6 4
7 7
8 6
9 6
10 30
11 19
12 14
13 47
14 19
15 253
16 6
17 62
18 165
19 11
20 100

About Manling Zhang

Manling Zhang is a scholar working on Aging, Molecular Biology and Business and International Management, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (10 papers) and Renal and related cancers (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (596 citations), Molecular Biology (982 citations) and Sensory Systems (55 citations). Manling Zhang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include David A. Kass, Eiki Takimoto, Djahida Bedja, Norimichi Koitabashi, Kathleen L. Gabrielson, Steven Hsu, Takahiro Nagayama, Dong I. Lee, Ari Zaiman and Guangshuo Zhu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

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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