D. Olga McDaniel

1.3k citations
46 papers · 1.0k · h-index 17

Impact in

Papers in

D. Olga McDaniel

44 papers receiving 990 citations

Peers

D. Olga McDaniel
Comparison fields: 5 of 86
  • Transplantation 81
  • Microbiology 143
  • Immunology 246
  • Epidemiology 352
  • Cellular and Molecular Neuroscience 140
Replace Marleen Seiler with:
Marleen Seiler Germany
Miriam Segall United States
Angela Patterson United Kingdom
P. T. A. Schellekens Netherlands
Julie K. Lindstad Norway
M. E. Moraes Brazil
Amber Thompson United Kingdom
Mårten K. J. Schneider Switzerland
Robin Winkler-Pickett United States
Baalasubramanian Sivasankar United Kingdom
D. Olga McDaniel relative to Marleen Seiler Germany Marleen Seiler's profile →
Citations per field
00.5×11.7×
Marleen Seiler · 1×
Citations per year

Countries citing papers authored by D. Olga McDaniel

Since Specialization
Citations

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

Fields of papers citing papers by D. Olga McDaniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Olga McDaniel. 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 D. Olga McDaniel. The network helps show where D. Olga McDaniel may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994120
2 1982114
3 199863
4 199463
5 199863
6 200361
7 199559
8 200355
9 200844
10 200739
11 200733
12 200132
13 200128
14 200128
15 200026
16 198722
17 201016
18 199416
19 201314
20
The effects of calbindin D-28K and parvalbumin antisense oligonucleotides on the survival of cultured Purkinje cells.
199913

About D. Olga McDaniel

D. Olga McDaniel is a scholar working on Immunology, Epidemiology, Rheumatology, Molecular Biology and Surgery, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (7 papers), Pneumonia and Respiratory Infections (5 papers), Genetic Neurodegenerative Diseases (5 papers), Spondyloarthritis Studies and Treatments (5 papers), Transplantation: Methods and Outcomes (5 papers), Streptococcal Infections and Treatments (4 papers), Systemic Lupus Erythematosus Research (4 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). The work is most often cited by research in Transplantation (81 citations), Microbiology (143 citations), Immunology (246 citations), Epidemiology (352 citations) and Cellular and Molecular Neuroscience (140 citations). D. Olga McDaniel has collaborated with scholars based in United States, Australia and Thailand. Frequent co-authors include Larry S. McDaniel, J W Murphy, David E. Briles, S. H. Subramony, P. J. S. Vig, William H. Barber, Susan K. Hollingshead, Edwin Swiatlo, Zheng‐Hong Qin and Jonathan D. Fratkin. Their work appears in journals such as Transplantation, Infection and Immunity, The American Surgeon, The American Journal of Medicine and Transplant Immunology.

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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