K. Serizawa

425 citations
18 papers · 351 indexed · h-index 13
Topics
Protease and Inhibitor Mechanisms (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)Blood Coagulation and Thrombosis Mechanisms (3 papers)
Partner nations
JapanSweden

In The Last Decade

K. Serizawa

18 papers receiving 341 citations

Peers

K. Serizawa
Comparison fields: 5 of 96
  • Cancer Research 77
  • Cellular and Molecular Neuroscience 75
  • Molecular Biology 59
  • Hematology 58
  • Cardiology and Cardiovascular Medicine 38
Replace Francesco Rossi with:
Francesco Rossi Italy
Laura Sommerville United States
Serge Martin France
Apostolia Hatziefthimiou Greece
Michael D. Stevens United States
Theresa Brand Germany
Cristina Gallego-Fábrega Spain
Umar Ali China
Anna Hedelius Sweden
Marianna Grinberg Germany
K. Serizawa relative to Francesco Rossi Italy Francesco Rossi's profile →
Citations per field
00.5×3.9×
Francesco Rossi · 1×
Citations per year

Countries citing papers authored by K. Serizawa

Since Specialization
Citations

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

Fields of papers citing papers by K. Serizawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Serizawa

This figure shows the co-authorship network connecting the top 25 collaborators of K. Serizawa. A scholar is included among the top collaborators of K. Serizawa 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 K. Serizawa. K. Serizawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1
Peripheral and central serotonergic systems in rats subjected to footshock or water-immersion restraint stress
16
2 22
3 5
4 5
5 14
6 1
7 19
8 30
9 19
10 20
11 18
12 14
13 67
14 36
15 41
16 6
17 16
18 2

About K. Serizawa

K. Serizawa is a scholar working on Cancer Research, Behavioral Neuroscience and Hematology, having authored 18 papers that have together received 351 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Biological Psychiatry (25 citations), Hematology (58 citations) and Cancer Research (77 citations). K. Serizawa has collaborated with scholars based in Japan and Sweden. Frequent co-authors include Tetsumei Urano, Akikazu Takada, Yumiko Takada, M.H. Pietraszek, Kenichi Sumiyoshi, Yumiko Takada, Yan Dong, S. Baba, Yumi Kojima and Satoru Takahashi. Their work appears in journals such as International Journal of Cancer, Life Sciences and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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