Richard A. Maki
- Immunology top 0.5%
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 13
- Immune Response and Inflammation 11
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 9
- Immunology and Allergy top 1%
- Hematology top 1%
- Molecular Biology top 2%
- RNA Research and Splicing 7
- Ubiquitin and proteasome pathways 6
-
- Monoclonal and Polyclonal Antibodies Research 12
-
- Cytokine Signaling Pathways and Interactions 7
- Co-authors
- Antonio CeladaScott R. McKercherSusumu TonegawaMichael J. KlemszCharles Van BeverenW RoederHitoshi SakanoGary S. Firestein
- Partner nations
- United StatesSpainAustria
In The Last Decade
Richard A. Maki
81 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Immunology 3.4k
- Immunology and Allergy 461
- Hematology 785
- Molecular Biology 3.3k
- Radiology, Nuclear Medicine and Imaging 1.0k
Countries citing papers authored by Richard A. Maki
This map shows the geographic impact of Richard A. 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 Richard A. Maki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Maki more than expected).
Fields of papers citing papers by Richard A. Maki
This network shows the impact of papers produced by Richard A. 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 Richard A. Maki. The network helps show where Richard A. Maki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard A. Maki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 42 | |
| 2 | 2016 | 10 | |
| 3 | 2013 | 41 | |
| 4 | Pillars article: the macrophage and B cell-specific transcription factor PU.1 is related to the ets oncogene. Cell, 1990. 61: 113-124. | 2008 | 2 |
| 5 | 2000 | 134 | |
| 6 | 1999 | 21 | |
| 7 | 1997 | 36 | |
| 8 | 1996 | 74 | |
| 9 | 1995 | 38 | |
| 10 | 1994 | 78 | |
| 11 | 1994 | 17 | |
| 12 | 1993 | 56 | |
| 13 | 1993 | 4 | |
| 14 | 1990 | 46 | |
| 15 | 1989 | 14 | |
| 16 | 1989 | 18 | |
| 17 | 1989 | 19 | |
| 18 | 1988 | 41 | |
| 19 | 1987 | 2 | |
| 20 | 1987 | 9 |
About Richard A. Maki
Richard A. Maki is a scholar working on Immunology, Immunology and Allergy and Molecular Biology, having authored 81 papers that have together received 6.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Immune Response and Inflammation (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (9 papers), RNA Research and Splicing (7 papers), Cytokine Signaling Pathways and Interactions (7 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Immunology (3.4k citations), Immunology and Allergy (461 citations) and Hematology (785 citations). Richard A. Maki has collaborated with scholars based in United States, Spain and Austria. Frequent co-authors include Antonio Celada, Scott R. McKercher, Susumu Tonegawa, Michael J. Klemsz, Charles Van Beveren, W Roeder, Hitoshi Sakano, Gary S. Firestein, Yoshikazu Kurosawa and André Traunecker. Their work appears in journals such as Nature, Science and Cell.
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.