Fang Zheng

6.6k citations
209 papers · 5.1k · 1 hit paper · h-index 34

Impact in

Papers in

Fang Zheng

203 papers receiving 5.0k citations

Fang Zheng's Hit Papers

Bone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells 2016 · 622 citations
6220+3+6Years since publication200400600

Peers

Fang Zheng
Comparison fields: 5 of 144
  • Cellular and Molecular Neuroscience 1.4k
  • Toxicology 241
  • Pharmacology 820
  • Developmental Neuroscience 149
  • Biological Psychiatry 85
Replace Marco Gobbi with:
Marco Gobbi Italy
Thomas P. Burris United States
Yasuharu Sasaki Japan
Heike Wulff United States
Karl‐Norbert Klotz Germany
Michael Schaefer Germany
Zhihong Huang China
Maria Ankarcrona Sweden
Miguel Medina Spain
Karsten Melcher United States
Fang Zheng relative to Marco Gobbi Italy Marco Gobbi's profile →
Citations per field
00.5×1.5×
Marco Gobbi · 1×
Citations per year

Countries citing papers authored by Fang Zheng

Since Specialization
Citations

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

Fields of papers citing papers by Fang Zheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells
Hit paper breakdown →
2016622
2 2011237
3 2004174
4 2001174
5 2008149
6 2003127
7 2011108
8 2004104
9 2010104
10 200593
11 201381
12 200679
13 201074
14 201472
15 201860
16 201155
17 200253
18 201053
19 200952
20 200851

About Fang Zheng

Fang Zheng is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Computational Theory and Mathematics and Organic Chemistry, having authored 209 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (37 papers), Cholinesterase and Neurodegenerative Diseases (36 papers), Neurotransmitter Receptor Influence on Behavior (33 papers), Computational Drug Discovery Methods (27 papers), Receptor Mechanisms and Signaling (25 papers), Nicotinic Acetylcholine Receptors Study (18 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Forensic Toxicology and Drug Analysis (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.4k citations), Toxicology (241 citations), Pharmacology (820 citations), Developmental Neuroscience (149 citations) and Biological Psychiatry (85 citations). Fang Zheng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Chang‐Guo Zhan, Christian Alzheimer, Steven W. Johnson, Geert Raes, Steve Schoonooghe, Wen‐Chao Yang, Patrick De Baetselier, Nick Devoogdt, Dirk De Ridder and Jan Deprest. Their work appears in journals such as Chemico-Biological Interactions, Scientific Reports, Journal of Neuroscience, The Journal of Physical Chemistry B and Neuroscience.

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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