Seiko Nakayama

1.4k citations
34 papers · 1.1k indexed · h-index 14

Seiko Nakayama

31 papers receiving 1.1k citations

Peers

Seiko Nakayama
Comparison fields: 5 of 104
  • Pulmonary and Respiratory Medicine 325
  • Rheumatology 139
  • Molecular Biology 471
  • Epidemiology 235
  • Cell Biology 96
Replace Jiehong Pan with:
Jiehong Pan United States
Claude Besmond France
Takahiko Kobayashi Japan
Byron Baron Malta
Yoshimasa Fujita Japan
Yusuke Kawashima Japan
T. M. Mukherjee Australia
Marek Duszyk Canada
T Hayakawa Japan
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Citations per year

Countries citing papers authored by Seiko Nakayama

Since Specialization
Citations

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

Fields of papers citing papers by Seiko Nakayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201015
2 2009149
3
[Two cases of pleomorphic carcinoma with severe systemic inflammation].
20090
4 200829
5
[Case of nonspecific interstitial pneumonia associated with aortitis syndrome].
20082
6 20072
7 2007129
8
[A case of sarcoidosis with diabetes insipidus].
20074
9 20065
10 200622
11 200627
12 200527
13 200537
14
[Familial summer-type hypersensitivity pneumonitis--case report and review of literature].
20054
15 200418
16
[A case of multiple pulmonary infarctions associated with Sjögren's syndrome and antipsychotic agent administration].
20040
17 200123
18 1998284
19 19982
20 1994170

About Seiko Nakayama

Seiko Nakayama is a scholar working on Microbiology, Developmental Neuroscience and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (11 papers), Inhalation and Respiratory Drug Delivery (6 papers), Antimicrobial Peptides and Activities (3 papers), Occupational exposure and asthma (3 papers), Occupational and environmental lung diseases (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Sarcoidosis and Beryllium Toxicity Research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (325 citations), Rheumatology (139 citations) and Molecular Biology (471 citations). Seiko Nakayama has collaborated with scholars based in Japan and United States. Frequent co-authors include Robert H. Kretsinger, Hiroshi Kawasaki, Hiroshi Mukae, Noriho Sakamoto, Shigeru Kohno, Tomoyuki Kakugawa, Hiroshi Ishimoto, Hiroshi Ishii, Sumako Yoshioka and Yuji Ishimatsu. Their work appears in journals such as Oncogene, CHEST Journal and Life 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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