Keiko Kobayashi

4.4k citations
204 papers · 3.4k indexed · h-index 31

Keiko Kobayashi

189 papers receiving 3.3k citations

Peers

Keiko Kobayashi
Comparison fields: 5 of 143
  • Clinical Biochemistry 425
  • Infectious Diseases 667
  • Immunology 718
  • Biochemistry 175
  • Hematology 229
Replace Hiroshi Kido with:
Hiroshi Kido Japan
Jeffrey R. Lee United States
José‐Enrique O’Connor Spain
David A. Ferrick United States
Jean D. Sipe United States
Hiroshi Teraoka Japan
Paola Matarrese Italy
Thottethodi Subrahmanya Keshava Prasad India
Melissa H. Wong United States
Robert E. Handschumacher United States
Keiko Kobayashi relative to Hiroshi Kido Japan Hiroshi Kido's profile →
Citations per field
00.5×2.8×
Hiroshi Kido · 1×
Citations per year

Countries citing papers authored by Keiko Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20179
6 201327
7 20131
8 20101
9 20094
10 20090
11
Overview of Citrin Deficiency:SLC25A13 Mutations and the Frequency
200810
12
A case of adult-onset type II citrullinemia in which oral administration of L-Arginine Granules improved the patient's encephalopathy and the increased level of serum ammonia
20023
13 20028
14 20001
15 20000
16 20001
17 200015
18 199922
19 19952
20 199136

About Keiko Kobayashi

Keiko Kobayashi is a scholar working on Clinical Biochemistry, Biochemistry and Infectious Diseases, having authored 204 papers that have together received 3.4k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (41 papers), Metabolism and Genetic Disorders (30 papers), Toxin Mechanisms and Immunotoxins (24 papers), Streptococcal Infections and Treatments (18 papers), Amino Acid Enzymes and Metabolism (18 papers), Antimicrobial Resistance in Staphylococcus (13 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Biochemical effects in animals (7 papers). The work is most often cited by research in Clinical Biochemistry (425 citations), Infectious Diseases (667 citations) and Immunology (718 citations). Keiko Kobayashi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masahiro Nagahama, Jun Sakùrai, Nobuhiko Katunuma, Masaya Takehara, Masataka Oda, Teruhisa Takagishi, Soshi Seike, Takeyori Saheki, Yoshitaka Hamaguchi and Kazuaki Miyamoto. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

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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