Anne Feng

687 total citations
18 papers, 526 citations indexed

About

Anne Feng is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Anne Feng has authored 18 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Anne Feng's work include Genetic and phenotypic traits in livestock (2 papers), Multiple Sclerosis Research Studies (2 papers) and Advanced Radiotherapy Techniques (2 papers). Anne Feng is often cited by papers focused on Genetic and phenotypic traits in livestock (2 papers), Multiple Sclerosis Research Studies (2 papers) and Advanced Radiotherapy Techniques (2 papers). Anne Feng collaborates with scholars based in United States, Australia and United Kingdom. Anne Feng's co-authors include James A. Koziol, Donald B. Fuller, Edward J. Stanford, Edward K. L. Chan, Eng M. Tan, Fu‐Dong Shi, Jian-Ying Zhang, Carlos A. Casiano, Takuma Mabuchi and Jacinta Lucero and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Hepatology.

In The Last Decade

Anne Feng

18 papers receiving 507 citations

Peers

Anne Feng
Comparison fields: 5 of 97
  • Molecular Biology 156
  • Radiology, Nuclear Medicine and Imaging 116
  • Pulmonary and Respiratory Medicine 103
  • Immunology 88
  • Epidemiology 86
Replace Mansoor Ahmed with:
Mansoor Ahmed United States
Ursula Kohlhofer Germany
Tetsuo Nonaka Japan
Hyebin Lee South Korea
Jason Kennedy United Kingdom
Neel Patel United Kingdom
Hirokazu Kato Japan
Ping Xia United States
Laura Graham United States
A. Fontana Switzerland
Mansoor Ahmed United States View profile →
Citations per field, relative to Anne Feng
Anne Feng · 1×
Citations per year, relative to Anne Feng
Anne Feng · 1×

Countries citing papers authored by Anne Feng

Since Specialization
Citations

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

Fields of papers citing papers by Anne Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Feng. A scholar is included among the top collaborators of Anne Feng 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 Anne Feng. Anne Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 2
2 6
3 4
4 30
5 23
6 34
7 41
8 12
9 1
10 3
11 16
12 57
13 49
14 8
15 82
16 5
17 14
18
Recursive partitioning as an approach to selection of immune markers for tumor diagnosis.
139

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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