Emi Ibuki

591 citations
33 papers · 419 · h-index 10

Impact in

Papers in

    • Lung Cancer Diagnosis and Treatment 4
    • Sarcoma Diagnosis and Treatment 3
    • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 3
    • Lung Cancer Research Studies 2
    • Pancreatic and Hepatic Oncology Research 2

Emi Ibuki

28 papers receiving 416 citations

Peers

Emi Ibuki
Comparison fields: 5 of 48
  • Pulmonary and Respiratory Medicine 209
  • Otorhinolaryngology 12
  • Oncology 60
  • Cancer Research 29
  • Radiology, Nuclear Medicine and Imaging 39
Replace Shinya Ogata with:
Shinya Ogata Japan
Renee L. Desmond United States
Massimo Scarpini Italy
Alessio Rizzo Italy
Richard Partl Austria
Chiara Reverberi Italy
Judith Stangl‐Kremser United States
Yoshihiko Manabe Japan
Won Sup Yoon South Korea
Tommaso Bizzarro Italy
Emi Ibuki relative to Shinya Ogata Japan Shinya Ogata's profile →
Citations per field
00.5×1.5×2×2.5×
Shinya Ogata · 1×
Citations per year

Countries citing papers authored by Emi Ibuki

Since Specialization
Citations

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

Fields of papers citing papers by Emi Ibuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201795
2 201991
3 201858
4 202122
5 201918
6 202215
7 202214
8 202011
9 202211
10 202211
11 201810
12 20218
13 20227
14 20217
15 20216
16 20206
17 20225
18 20204
19 20173
20 20213

About Emi Ibuki

Emi Ibuki is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Dermatology and Genetics, having authored 33 papers that have together received 419 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Lung Cancer Research Studies (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Immune cells in cancer (2 papers), Dermatological and COVID-19 studies (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (209 citations), Otorhinolaryngology (12 citations), Oncology (60 citations), Cancer Research (29 citations) and Radiology, Nuclear Medicine and Imaging (39 citations). Emi Ibuki has collaborated with scholars based in Japan and United States. Frequent co-authors include Kyuichi Kadota, Reiji Haba, Hiroyasu Yokomise, Ryou Ishikawa, Yoshio Kushida, Tetsuhiko Go, Kosuke Inoue, Tomoya Ishii, Norimitsu Kadowaki and Shuji Bandoh. Their work appears in journals such as Lung Cancer, The American Journal of Surgical Pathology, Pathology International, International Journal of Clinical Oncology and PPAR Research.

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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