Hanako Kobayashi

1.5k total citations
32 papers, 1.2k citations indexed

About

Hanako Kobayashi is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Hanako Kobayashi has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cancer Research and 8 papers in Genetics. Recurrent topics in Hanako Kobayashi's work include Cancer, Hypoxia, and Metabolism (10 papers), Angiogenesis and VEGF in Cancer (7 papers) and Renal and related cancers (4 papers). Hanako Kobayashi is often cited by papers focused on Cancer, Hypoxia, and Metabolism (10 papers), Angiogenesis and VEGF in Cancer (7 papers) and Renal and related cancers (4 papers). Hanako Kobayashi collaborates with scholars based in United States, Japan and Sweden. Hanako Kobayashi's co-authors include P. Charles Lin, Kimberly Boelte, P. Charles Lin, Volker H. Haase, Olena Davidoff, Pinelopi P. Kapitsinou, Laura M. DeBusk, Qingdu Liu, Sharon E. Fleming and Daniel Dumont and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Hanako Kobayashi

32 papers receiving 1.1k citations

Peers

Hanako Kobayashi
Comparison fields: 5 of 92
  • Molecular Biology 519
  • Cancer Research 326
  • Oncology 218
  • Immunology 177
  • Hematology 147
Replace Sylvie Shen with:
Sylvie Shen Australia
Shujun Lin China
Soheila Rahgozar Iran
Mami Iwamoto United States
Yi Fan China
Naoki Agata Japan
Eleonora Petrucci Italy
Johann Zimmermann Switzerland
Erika Rimondi Italy
Jolanta Sawicka Canada
Sylvie Shen Australia View profile →
Citations per field, relative to Hanako Kobayashi
Hanako Kobayashi · 1×
Citations per year, relative to Hanako Kobayashi
Hanako Kobayashi · 1×

Countries citing papers authored by Hanako Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Hanako Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanako Kobayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Hanako Kobayashi. A scholar is included among the top collaborators of Hanako 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 Hanako Kobayashi. Hanako 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 4
2 3
3 2
4 13
5 22
6 21
7 47
8 80
9 146
10 83
11 58
12 60
13 195
14 17
15 48
16 33
17 23
18 24
19
[CpG motif in DNA from immune complexes of SLE patients augments expression of intercellular adhesion molecule-1 on endothelial cells].
4
20
Milk-clotting enzyme from Irpex lacteus
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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