K. Konno

2.7k citations
154 papers · 2.0k · h-index 25

Impact in

Papers in

K. Konno

149 papers receiving 1.9k citations

Peers

K. Konno
Comparison fields: 5 of 118
  • Hepatology 225
  • Pulmonary and Respiratory Medicine 606
  • Surgery 617
  • Physiology 332
  • Endocrine and Autonomic Systems 84
Replace Sun‐Sang J. Sung with:
Sun‐Sang J. Sung United States
Martin Wolff Germany
Alaín Le Moine Belgium
C Zanussi Italy
Carmen Guerrero Spain
Markus Bosmann United States
Stefan Dunzendorfer Austria
Takao Okubo Japan
Smita S. Iyer United States
R. Landmann United States
K. Konno relative to Sun‐Sang J. Sung United States Sun‐Sang J. Sung's profile →
Citations per field
00.5×4.9×
Sun‐Sang J. Sung · 1×
Citations per year

Countries citing papers authored by K. Konno

Since Specialization
Citations

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

Fields of papers citing papers by K. Konno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995106
2 199599
3 199288
4 199759
5 199548
6 199443
7 199239
8 200136
9 200336
10 200036
11 199934
12 198534
13 199630
14 199530
15 200130
16 199530
17 201028
18 199828
19 201127
20 199326

About K. Konno

K. Konno is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Physiology, Hepatology and Molecular Biology, having authored 154 papers that have together received 2.0k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (14 papers), Asthma and respiratory diseases (14 papers), Respiratory and Cough-Related Research (12 papers), Pediatric Hepatobiliary Diseases and Treatments (11 papers), Neuropeptides and Animal Physiology (10 papers), Neuroscience of respiration and sleep (8 papers), Liver Disease Diagnosis and Treatment (8 papers) and Abdominal vascular conditions and treatments (8 papers). The work is most often cited by research in Hepatology (225 citations), Pulmonary and Respiratory Medicine (606 citations), Surgery (617 citations), Physiology (332 citations) and Endocrine and Autonomic Systems (84 citations). K. Konno has collaborated with scholars based in Japan, Pakistan and United States. Frequent co-authors include Hideaki Ishida, Hiroko Naganuma, Tomoya Komatsuda, Jun Tamaoki, Etsuko Tagaya, J Tamaoki, Atsushi Chiyotani, Y. Hamashima, J. Ishida and Michiko Sato. Their work appears in journals such as European Journal of Ultrasound, European Radiology, Antimicrobial Agents and Chemotherapy, American Journal of Respiratory and Critical Care Medicine and Thorax.

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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