Mari Ishida

3.2k total citations
91 papers, 2.5k citations indexed

About

Mari Ishida is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Nephrology. According to data from OpenAlex, Mari Ishida has authored 91 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 16 papers in Cardiology and Cardiovascular Medicine and 14 papers in Nephrology. Recurrent topics in Mari Ishida's work include Protein Kinase Regulation and GTPase Signaling (9 papers), Dialysis and Renal Disease Management (8 papers) and Renin-Angiotensin System Studies (8 papers). Mari Ishida is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (9 papers), Dialysis and Renal Disease Management (8 papers) and Renin-Angiotensin System Studies (8 papers). Mari Ishida collaborates with scholars based in Japan, United States and Belgium. Mari Ishida's co-authors include Bradford C. Berk, Takafumi Ishida, Masafumi Takahashi, Masao Yoshizumi, Jun‐ichi Abe, Chiemi Sakai, Jiing-Dwan Lee, Judith Haendeler, Sheila Μ. Thomas and Satoshi Tashiro and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

In The Last Decade

Mari Ishida

87 papers receiving 2.5k citations

Peers

Mari Ishida
Comparison fields: 5 of 128
  • Molecular Biology 1.3k
  • Cardiology and Cardiovascular Medicine 631
  • Physiology 340
  • Immunology 307
  • Oncology 243
Replace Kai Kappert with:
Kai Kappert Germany
Sarah Costantino Switzerland
Ashour Michael Italy
Francesco Romeo Italy
Julia Blanco Spain
Paul O’Connor United States
Cuntai Zhang China
Luisa Lenti Italy
Jeffrey R. Schelling United States
Rolf‐Edgar Silber Germany
Kai Kappert Germany View profile →
Citations per field, relative to Mari Ishida
Mari Ishida · 1×
Citations per year, relative to Mari Ishida
Mari Ishida · 1×

Countries citing papers authored by Mari Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Mari Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Ishida

This figure shows the co-authorship network connecting the top 25 collaborators of Mari Ishida. A scholar is included among the top collaborators of Mari Ishida 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 Mari Ishida. Mari Ishida 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 5
2 40
3 8
4 0
5 0
6 8
7 57
8 17
9 18
10 27
11 13
12 1
13 11
14 28
15 5
16 4
17 36
18 140
19 55
20 242

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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