Sunmi Jo

507 citations
28 papers · 349 · h-index 11

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
  • Radiation top 10%
    • Advanced Radiotherapy Techniques

Papers in

Sunmi Jo

25 papers receiving 346 citations

Peers

Sunmi Jo
Comparison fields: 5 of 72
  • Hepatology 90
  • Radiation 55
  • Cancer Research 90
  • Genetics 43
  • Pulmonary and Respiratory Medicine 87
Replace Zetian Shen with:
Zetian Shen China
Scott F. Paoni United States
Sara Chiblak Germany
Melinda E. Stack United States
Turi Danielsen Norway
Kemin Jin China
Claudia Blattmann Germany
Kaikai Zhao China
Nirit Yarom Israel
Xiaoli Long China
Sunmi Jo relative to Zetian Shen China Zetian Shen's profile →
Citations per field
00.5×3.8×
Zetian Shen · 1×
Citations per year

Countries citing papers authored by Sunmi Jo

Since Specialization
Citations

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

Fields of papers citing papers by Sunmi Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201976
2 201938
3 202133
4 201827
5 201923
6 202317
7 202115
8 201114
9 202213
10 201813
11 201411
12 20199
13 20167
14 20237
15 20137
16 20167
17 20185
18 20195
19 20155
20 20244

About Sunmi Jo

Sunmi Jo is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Surgery, Molecular Biology and Oncology, having authored 28 papers that have together received 349 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Lung Cancer Diagnosis and Treatment (5 papers), Cancer, Hypoxia, and Metabolism (3 papers), Glioma Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (90 citations), Radiation (55 citations), Cancer Research (90 citations), Genetics (43 citations) and Pulmonary and Respiratory Medicine (87 citations). Sunmi Jo has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include BuHyun Youn, Hyunkoo Kang, Jaewan Jeon, Beomseok Son, HyeSook Youn, Hyun‐Woo Kim, Sungmin Lee, Hye‐kyung Shim, Won Il Jang and Sun Hyun Bae. Their work appears in journals such as Cancer Research and Treatment, Japanese Journal of Clinical Oncology, International Journal of Molecular Sciences, Cancer and International Journal of Biological Macromolecules.

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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