Richard D. Maca

870 citations
33 papers · 723 · h-index 15

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

    • Immune Response and Inflammation 7
    • Immune Cell Function and Interaction 5
    • T-cell and Retrovirus Studies 2
    • Glycosylation and Glycoproteins Research 5

Richard D. Maca

33 papers receiving 636 citations

Peers

Richard D. Maca
Comparison fields: 5 of 90
  • Immunology 269
  • Genetics 121
  • Immunology and Allergy 41
  • Pathology and Forensic Medicine 85
  • Oncology 126
Replace Nemat Hashem with:
Nemat Hashem Egypt
V. P. Eijsvoogel Netherlands
Yale Rabinowitz United States
M.A. Gross United States
Ronald P. Cleveland United States
Gail A. Wong United States
Hsiu-san Lin United States
A M Kaplan United States
A E Maluish United States
E V Elliott United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Richard D. Maca

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Richard D. Maca Line = papers co-authored together Richard D. Maca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973113
2 198095
3 197860
4 198847
5 198544
6 197943
7 198240
8 198538
9
Biochemical, morphological, and immunological observations of leukemic reticuloendotheliosis.
197334
10 197726
11 197825
12 198322
13 197217
14 198515
15 197814
16 197110
17 197110
18 19869
19 19849
20 19778

About Richard D. Maca

Richard D. Maca is a scholar working on Immunology, Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 33 papers that have together received 723 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), Inflammatory mediators and NSAID effects (3 papers), NF-κB Signaling Pathways (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Immunology (269 citations), Genetics (121 citations), Immunology and Allergy (41 citations), Pathology and Forensic Medicine (85 citations) and Oncology (126 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 Ronald B. Herberman. Their work appears in journals such as Experimental Biology and Medicine, Cancer, JNCI Journal of the National Cancer Institute, Biochemical and Biophysical Research Communications and Infection and Immunity.

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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