Yuya Kobayashi

784 total citations
58 papers, 473 citations indexed

About

Yuya Kobayashi is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Neurology. According to data from OpenAlex, Yuya Kobayashi has authored 58 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pulmonary and Respiratory Medicine, 13 papers in Epidemiology and 12 papers in Neurology. Recurrent topics in Yuya Kobayashi's work include Acute Ischemic Stroke Management (8 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Cerebral Venous Sinus Thrombosis (4 papers). Yuya Kobayashi is often cited by papers focused on Acute Ischemic Stroke Management (8 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Cerebral Venous Sinus Thrombosis (4 papers). Yuya Kobayashi collaborates with scholars based in Japan, United States and Israel. Yuya Kobayashi's co-authors include H Shigematsu, Yōichirō Kondō, R Myers, James D. Brooks, Donna M. Peehl, Sarah Young, Gavin Sherlock, Devin Absher, Zulfiqar Gulzar and Jesse K. McKenney and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

Yuya Kobayashi

45 papers receiving 452 citations

Peers

Yuya Kobayashi
Comparison fields: 5 of 75
  • Molecular Biology 245
  • Pulmonary and Respiratory Medicine 106
  • Nephrology 61
  • Cancer Research 56
  • Genetics 48
Replace Ming‐Jen Sheu with:
Ming‐Jen Sheu Taiwan
Janine Hensel United States
Amy Zollman United States
Fionnuala B. Hickey Ireland
Bogusz Trojanowicz Germany
Yini Ke China
Karen Wolcott United States
Matthew A. Dragovich United States
Sophie Bérissi France
Ming‐Jen Sheu Taiwan View profile →
Citations per field, relative to Yuya Kobayashi
Yuya Kobayashi · 1×
Citations per year, relative to Yuya Kobayashi
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Countries citing papers authored by Yuya Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Yuya Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuya Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuya Kobayashi. A scholar is included among the top collaborators of Yuya Kobayashi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yuya Kobayashi. Yuya Kobayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 0
5 0
6 1
7 2
8 1
9 2
10 14
11 2
12 1
13 1
14 7
15 9
16 12
17 179
18 10
19
[Clinical usefulness of cross-linked N-telopeptide of type I collagen (NTx) as a bone metastatic marker in patients with prostate cancer--comparison with serum PICP, PINP and ICTP].
5
20
A case with partial deletion of the long arm of chromosome D: The 13q-deletion syndrome
1

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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