Fengchao Lang

1.0k citations
31 papers · 714 · h-index 16

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • Cytomegalovirus and herpesvirus research 10
    • Herpesvirus Infections and Treatments 8
    • DNA Repair Mechanisms 5
    • Epigenetics and DNA Methylation 3

Fengchao Lang

29 papers receiving 712 citations

Peers

Fengchao Lang
Comparison fields: 5 of 91
  • Cancer Research 191
  • Genetics 92
  • Molecular Biology 423
  • Oncology 158
  • Virology 23
Replace Eleonora Vecchio with:
Eleonora Vecchio Italy
Tiffany Huang United States
Allon Canaan United States
Stefán Karlsson United States
Zhen Yan China
Guijie Guo China
Pamela Mukhopadhyay Australia
Xiaoyuan He China
Hari Raghu United States
Fengchao Lang relative to Eleonora Vecchio Italy Eleonora Vecchio's profile →
Citations per field
00.5×1.5×
Eleonora Vecchio · 1×
Citations per year

Countries citing papers authored by Fengchao Lang

Since Specialization
Citations

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

Fields of papers citing papers by Fengchao Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 202178
3 201755
4 201552
5 202049
6 201849
7 202148
8 202038
9 201736
10 202323
11 201521
12 202021
13 201817
14 201916
15 201916
16 201816
17 201812
18 201810
19 20169
20 20219

About Fengchao Lang

Fengchao Lang is a scholar working on Epidemiology, Molecular Biology, Oncology, Cancer Research and Genetics, having authored 31 papers that have together received 714 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (10 papers), Herpesvirus Infections and Treatments (8 papers), Viral-associated cancers and disorders (7 papers), DNA Repair Mechanisms (5 papers), Glioma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Cancer Research (191 citations), Genetics (92 citations), Molecular Biology (423 citations), Oncology (158 citations) and Virology (23 citations). Fengchao Lang has collaborated with scholars based in United States, China and India. Frequent co-authors include Chunzhang Yang, Fu-Ju Chou, Rajnish Kumar Singh, Yonggang Pei, Erle S. Robertson, Yang Liu, Kunfeng Sun, Jumin Zhou, Shengwei Zhang and Hem Chandra Jha. Their work appears in journals such as PLoS Pathogens, Pharmacology & Therapeutics, Clinical Cancer Research, Scientific Reports and Virology Journal.

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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