N Konno

594 citations
27 papers · 489 · h-index 9

Impact in

Papers in

N Konno

24 papers receiving 437 citations

Peers

N Konno
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 369
  • Endocrine and Autonomic Systems 39
  • Pathology and Forensic Medicine 49
  • Physiology 67
  • Behavioral Neuroscience 9
Replace I B Lumholtz with:
I B Lumholtz Denmark
Leon P. Georges United States
C Wimpfheimer Switzerland
ALLAN W. REED United States
Juan Abuid United States
J. M. Corcoran Australia
D. F. Smith Ireland
Laura Piaggesi Italy
S. A. Kaplan United States
Joseph M. Tibaldi United States
N Konno relative to I B Lumholtz Denmark I B Lumholtz's profile →
Citations per field
00.5×6.7×
I B Lumholtz · 1×
Citations per year

Countries citing papers authored by N Konno

Since Specialization
Citations

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

Fields of papers citing papers by N Konno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994139
2 1993113
3 199354
4 198246
5 196727
6 198817
7 197816
8 197013
9 19898
10 20027
11 19837
12
[Screening for thyroid dysfunction in adults residing in Hokkaido Japan: in relation to urinary iodide concentration and thyroid autoantibodies].
19945
13 19854
14 19764
15 19884
16
[Evaluation of fine needle aspiration cytology in the diagnosis of thyroid diseases].
19894
17 19703
18 19873
19 19703
20 19682

About N Konno

N Konno is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Epidemiology and Cancer Research, having authored 27 papers that have together received 489 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (18 papers), Thyroid Cancer Diagnosis and Treatment (9 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Adipose Tissue and Metabolism (2 papers), Diet and metabolism studies (2 papers), Diverse Academic Research Areas (1 paper) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (369 citations), Endocrine and Autonomic Systems (39 citations), Pathology and Forensic Medicine (49 citations), Physiology (67 citations) and Behavioral Neuroscience (9 citations). N Konno has collaborated with scholars based in Japan and Canada. Frequent co-authors include Kenji Yuri, Shigeki Murakami, Hironi Makita, Keitarou Kawasaki, Narushi Iizuka, Kiyoshi Morikawa, Mitsuru Kumagai, Akihiro KUROSHIMA, Alka M. Kanaya and Shinji Ito. Their work appears in journals such as European Journal of Endocrinology, Endocrinology, Clinical Chemistry, Clinical Endocrinology and The Journal of Clinical Endocrinology & Metabolism.

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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