Anna Han

42 papers receiving 970 citations

Anna Han's Hit Papers

A Gnotobiotic Mouse Model Demonstrates That Dietary Fiber Protects against Colorectal Tumorigenesis in a Microbiota- and Butyrate-Dependent Manner 2014 · 398 citations
3980+4+8Years since publication100200300

Peers

Anna Han
Comparison fields: 5 of 84
  • Ophthalmology 74
  • Biological Psychiatry 20
  • Cancer Research 108
  • Molecular Biology 537
  • Physiology 165
Replace Jin Kyeong Choi with:
Jin Kyeong Choi South Korea
Hui Qi China
Florian Kühn Germany
Xueke Zhao China
Daryn R. Michael United Kingdom
Nianshuang Li China
Bao Sun China
Csaba Hegedűs Hungary
Miles H. Fuller United States
Jeong-Eun Kwon South Korea
Anna Han relative to Jin Kyeong Choi South Korea Jin Kyeong Choi's profile →
Citations per field
00.5×1.5×2.0×
Jin Kyeong Choi · 1×
Citations per year

Countries citing papers authored by Anna Han

Since Specialization
Citations

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

Fields of papers citing papers by Anna Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Gnotobiotic Mouse Model Demonstrates That Dietary Fiber Protects against Colorectal Tumorigenesis in a Microbiota- and Butyrate-Dependent Manner
Hit paper breakdown →
2014398
2 202280
3 201571
4 201850
5 202036
6 202128
7 201322
8 201621
9 202120
10 201520
11 202019
12 202019
13 202218
14 201514
15 201814
16 202214
17 202113
18 201712
19 20249
20 20239

About Anna Han

Anna Han is a scholar working on Ophthalmology, Physiology, Pathology and Forensic Medicine, Cancer Research and Nutrition and Dietetics, having authored 43 papers that have together received 980 indexed citations. Recurring topics across this work include Ocular Oncology and Treatments (8 papers), Phytoestrogen effects and research (6 papers), Nutrition, Health and Food Behavior (5 papers), Diet and metabolism studies (5 papers), Cancer-related Molecular Pathways (4 papers), Adipose Tissue and Metabolism (4 papers), Food Quality and Safety Studies (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Ophthalmology (74 citations), Biological Psychiatry (20 citations), Cancer Research (108 citations), Molecular Biology (537 citations) and Physiology (165 citations). Anna Han has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Dallas R. Donohoe, Andrew E. Aplin, Leonard B. Collins, Darcy Holley, Alan C. Whitmore, Elizabeth P. Ryan, James A. Swenberg, David W. Threadgill, Kaitlin P. Curry and Mark T. Heise. Their work appears in journals such as Nutrients, The FASEB Journal, Phytomedicine, Foods and Frontiers in Cell and Developmental Biology.

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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