Cong Fu

681 citations
16 papers · 336 indexed · h-index 12

Impact in

Papers in

    • Epigenetics and DNA Methylation 3
    • Microbial Metabolic Engineering and Bioproduction 2
    • Bacterial Genetics and Biotechnology 2
    • Digestive system and related health 2

Cong Fu

16 papers receiving 326 citations

Peers

Cong Fu
Comparison fields: 5 of 65
  • Cancer Research 60
  • Hematology 44
  • Molecular Biology 207
  • Cell Biology 41
  • Immunology 47
Replace Zhenhao Qi with:
Zhenhao Qi United States
Gaute Brede Norway
Sanhita Ray United States
Svenja Leible Germany
Immacolata Vocca Italy
Meera Mallya United Kingdom
Aisuke Nii Japan
Qingchun Cai China
Winnie Tan Australia
Cláudia Alessandra Andrade de Paula Brazil
Cong Fu relative to Zhenhao Qi United States Zhenhao Qi's profile →
Citations per field
00.5×1.7×
Zhenhao Qi · 1×
Citations per year

Countries citing papers authored by Cong Fu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
Characterization of hematologic malignancies by flow cytometry.
198066
2 201353
3 201346
4 201830
5 200723
6 201517
7 202116
8
Transplantation of bradykinin-preconditioned human endothelial progenitor cells improves cardiac function via enhanced Akt/eNOS phosphorylation and angiogenesis.
201513
9 202413
10 202012
11 202211
12 202211
13 20218
14 20218
15 20236
16 20213

About Cong Fu

Cong Fu is a scholar working on Molecular Biology, Genetics, Hematology, Cell Biology and Nutrition and Dietetics, having authored 16 papers that have together received 336 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Epigenetics and DNA Methylation (3 papers), Zebrafish Biomedical Research Applications (3 papers), Bacterial Genetics and Biotechnology (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Infant Nutrition and Health (2 papers), Digestive system and related health (2 papers) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Cancer Research (60 citations), Hematology (44 citations), Molecular Biology (207 citations), Cell Biology (41 citations) and Immunology (47 citations). Cong Fu has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Emil J. Freireich, M. Andreeff, Jean Latreille, Barthel Barlogie, Marvin L. Meistrich, Songwei Wang, Hongbo Hu, Weijun Pan, Junsong Sun and Yi Zhou. Their work appears in journals such as Microbial Cell Factories, Frontiers in Cell and Developmental Biology, Cell Research, Frontiers in Bioengineering and Biotechnology and PLoS Genetics.

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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