R. Maki

4.0k citations
17 papers · 3.3k indexed · 1 hit paper · h-index 14

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immune Response and Inflammation

Papers in

R. Maki

17 papers receiving 3.2k citations

Hit Papers

Targeted disruption of the PU.1 gene results in multiple hematopoietic abnormalities. 1996 · 896 citations
8961996202620062016250500750

Peers

R. Maki
Comparison fields: 5 of 112
  • Immunology 1.3k
  • Rehabilitation 229
  • Neurology 265
  • Hematology 354
  • Immunology and Allergy 177
Replace Ottavio Cremona with:
Ottavio Cremona Italy
Masatake Osawa Japan
Kyungmin Hahm United States
Fabrizio Mainiero Italy
Alessandro Fantin United Kingdom
Thomas H. Bugge United States
Ralf Dressel Germany
Douglas S. Annis United States
Stéphane Y. Corbel Canada
Louise E. Reynolds United Kingdom
R. Maki relative to Ottavio Cremona Italy Ottavio Cremona's profile →
Citations per field
00.5×3.2×
Ottavio Cremona · 1×
Citations per year

Countries citing papers authored by R. Maki

Since Specialization
Citations

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

Fields of papers citing papers by R. Maki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200622
2 200628
3 200542
4 200328
5 2003395
6 2002138
7 1999222
8 1998247
9 1997401
10
Targeted disruption of the PU.1 gene results in multiple hematopoietic abnormalities.
Hit paper breakdown →
1996896
11 199510
12 199490
13 1993197
14 1993254
15 1992320
16 199012
17 19902

About R. Maki

R. Maki is a scholar working on Immunology and Allergy, Endocrine and Autonomic Systems, Immunology, Nutrition and Dietetics and Urology, having authored 17 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Regulation of Appetite and Obesity (3 papers), Immunotherapy and Immune Responses (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), T-cell and B-cell Immunology (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Chemokine receptors and signaling (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (1.3k citations), Rehabilitation (229 citations), Neurology (265 citations), Hematology (354 citations) and Immunology and Allergy (177 citations). R. Maki has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Scott R. McKercher, M Klemsz, Kenton L. Anderson, Gregory W. Henkel, Sujatha Nagulapalli, Christopher J. Paige, G E Wu, Ann J. Feeney, Hélène Baribault and Bruce E. Torbett. Their work appears in journals such as The Journal of Immunology, Science, Journal of Pharmacology and Experimental Therapeutics, Current Biology and Journal of Neurophysiology.

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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2026