Richard D. Maca
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Immunology 14
- Immune Response and Inflammation 7
- Immune Cell Function and Interaction 5
- T-cell and Retrovirus Studies 2
- Co-authors
- Glenna L. FryJohn C. HoakFred R. DickG D BonnardL. J. LewisStephen A. KlotzWilliam R. PanjeAmin Ul Haq
- Journals
- Cancer (3 papers)JNCI Journal of the National Cancer Institute (3 papers)Experimental Biology and Medicine (3 papers)Infection and Immunity (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- United States
In The Last Decade
Richard D. Maca
33 papers receiving 631 citations
Peers
Comparison fields: 5 of 90
- Immunology 273
- Genetics 122
- Immunology and Allergy 42
- Pathology and Forensic Medicine 92
- Oncology 131
Countries citing papers authored by Richard D. Maca
This map shows the geographic impact of Richard D. Maca'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 D. Maca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard D. Maca more than expected).
Fields of papers citing papers by Richard D. Maca
This network shows the impact of papers produced by Richard D. Maca. 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 D. Maca. The network helps show where Richard D. Maca may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Richard D. Maca, 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 | 1987 | 8 | |
| 2 | 1985 | 15 | |
| 3 | 1985 | 44 | |
| 4 | 1983 | 1 | |
| 5 | Induction of indomethacin sensitive suppressor cells (issc) by corynebacterium parvum (c. Parvum) and the effect of interleukin- -2 (il-2). Abstr. | 1982 | 1 |
| 6 | 1982 | 40 | |
| 7 | 1980 | 95 | |
| 8 | 1979 | 43 | |
| 9 | 1978 | 60 | |
| 10 | 1978 | 5 | |
| 11 | 1978 | 14 | |
| 12 | 1977 | 26 | |
| 13 | 1977 | 8 | |
| 14 | Concanavalin A-induced agglutination of human leukemic and lymphoma cells. | 1976 | 2 |
| 15 | 1974 | 5 | |
| 16 | 1973 | 113 | |
| 17 | Modification of cellular lipid metabolism by psychological stress. | 1972 | 1 |
| 18 | 1971 | 10 | |
| 19 | 1971 | 9 | |
| 20 | 1961 | 5 |
About Richard D. Maca
Richard D. Maca is a scholar working on Immunology, Biotechnology, Cancer Research, Genetics and Animal Science and Zoology, having authored 33 papers that have together received 722 indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), Glycosylation and Glycoproteins Research (5 papers), Immune Cell Function and Interaction (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Inflammatory mediators and NSAID effects (3 papers), NF-κB Signaling Pathways (3 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Immunology (273 citations), Genetics (122 citations), Immunology and Allergy (42 citations), Pathology and Forensic Medicine (92 citations) and Oncology (131 citations). Richard D. Maca has collaborated with scholars based in United States. Frequent co-authors include Glenna L. Fry, John C. Hoak, Fred R. Dick, G D Bonnard, L. J. Lewis, Stephen A. Klotz, William R. Panje, Amin Ul Haq, John J. Rinehart and J C Hoak. Their work appears in journals such as Cancer, JNCI Journal of the National Cancer Institute, Experimental Biology and Medicine, Infection and Immunity and Biochemical and Biophysical Research Communications.
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.