Se‐Il Go

1.9k citations
74 papers · 1.4k · h-index 24

Impact in

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 17
    • Lung Cancer Research Studies 9
    • Pancreatic and Hepatic Oncology Research 6
    • Gastric Cancer Management and Outcomes 11

Se‐Il Go

71 papers receiving 1.4k citations

Peers

Se‐Il Go
Comparison fields: 5 of 95
  • Geriatrics and Gerontology 145
  • Oncology 583
  • Physiology 344
  • Pathology and Forensic Medicine 198
  • Internal Medicine 40
Replace Jan Willem T. Dekker with:
Jan Willem T. Dekker Netherlands
Renaud Whittom Canada
Vincenzo Formica Italy
Paul Sieber United States
Umberto Vespasiani‐Gentilucci Italy
Yunxia Lu Sweden
Xiaowei Sun China
Nir I. Weijl Netherlands
Tatsunori Miyata Japan
Se‐Il Go relative to Jan Willem T. Dekker Netherlands Jan Willem T. Dekker's profile →
Citations per field
00.5×6.7×
Jan Willem T. Dekker · 1×
Citations per year

Countries citing papers authored by Se‐Il Go

Since Specialization
Citations

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

Fields of papers citing papers by Se‐Il Go

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Se‐Il Go. 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 Se‐Il Go. The network helps show where Se‐Il Go may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015100
2 201686
3 201577
4 201657
5 201450
6 201549
7 201847
8 201440
9 202139
10 201538
11 202134
12 201934
13 201434
14 201332
15 201532
16 202031
17 201930
18 201628
19 201927
20 201726

About Se‐Il Go

Se‐Il Go is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Physiology and Pathology and Forensic Medicine, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (17 papers), Lymphoma Diagnosis and Treatment (11 papers), Gastric Cancer Management and Outcomes (11 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (10 papers), Nutrition and Health in Aging (10 papers), Lung Cancer Research Studies (9 papers), Pain Management and Opioid Use (6 papers) and Pancreatic and Hepatic Oncology Research (6 papers). The work is most often cited by research in Geriatrics and Gerontology (145 citations), Oncology (583 citations), Physiology (344 citations), Pathology and Forensic Medicine (198 citations) and Internal Medicine (40 citations). Se‐Il Go has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Gyeong‐Won Lee, Myoung Hee Kang, Hoon‐Gu Kim, Sungwoo Park, Won Sup Lee, Mi Jung Park, Haa‐Na Song, Jung Hun Kang, Seok‐Hyun Kim and Rock Bum Kim. Their work appears in journals such as Cancer Research and Treatment, Journal of Clinical Oncology, BMC Cancer, Medicine and International Journal of Molecular Sciences.

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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