Robert D. Bremel

2.5k total citations · 1 hit paper
53 papers, 2.0k citations indexed

About

Robert D. Bremel is a scholar working on Molecular Biology, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Robert D. Bremel has authored 53 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Genetics and 10 papers in Agronomy and Crop Science. Recurrent topics in Robert D. Bremel's work include Animal Genetics and Reproduction (12 papers), vaccines and immunoinformatics approaches (11 papers) and Infant Nutrition and Health (8 papers). Robert D. Bremel is often cited by papers focused on Animal Genetics and Reproduction (12 papers), vaccines and immunoinformatics approaches (11 papers) and Infant Nutrition and Health (8 papers). Robert D. Bremel collaborates with scholars based in United States, Norway and Denmark. Robert D. Bremel's co-authors include Annemarie Weber, E. Jane Homan, Apolinary Sobieszek, Gregory T. Bleck, Anthony W.S. Chan, John C. Byatt, THERESA M. DUELLO, Jane C. Burns, Gillian M. Olins and Anna Marie Skalka and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Robert D. Bremel

53 papers receiving 1.8k citations

Hit Papers

Cooperation within Actin Filament in Vertebrate Skeletal ... 1972 2026 1990 2008 1972 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert D. Bremel United States 22 1.1k 672 487 240 183 53 2.0k
Tomomasa Watanabe Japan 28 1.2k 1.1× 141 0.2× 519 1.1× 258 1.1× 174 1.0× 129 2.7k
Linda Stowring United States 21 1.1k 1.0× 161 0.2× 335 0.7× 144 0.6× 69 0.4× 25 2.5k
Syamalima Dube United States 23 611 0.6× 283 0.4× 238 0.5× 490 2.0× 51 0.3× 74 1.8k
Gerald M. McInerney Sweden 31 1.6k 1.5× 452 0.7× 208 0.4× 195 0.8× 213 1.2× 80 3.7k
Michael Oglesbee United States 35 766 0.7× 210 0.3× 527 1.1× 86 0.4× 135 0.7× 104 2.9k
Robert Wang Taiwan 31 1.4k 1.3× 396 0.6× 155 0.3× 50 0.2× 132 0.7× 86 3.0k
F. Ehrensperger Switzerland 26 660 0.6× 243 0.4× 158 0.3× 771 3.2× 54 0.3× 94 2.7k
Andrea S. Weisberg United States 34 1.0k 0.9× 761 1.1× 810 1.7× 44 0.2× 160 0.9× 87 3.2k
Marie‐Anne Shaw United Kingdom 20 800 0.8× 352 0.5× 327 0.7× 29 0.1× 46 0.3× 45 1.9k
Patrick L. Sinn United States 32 1.4k 1.3× 296 0.4× 1.3k 2.6× 33 0.1× 47 0.3× 70 3.6k

Countries citing papers authored by Robert D. Bremel

Since Specialization
Citations

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

Fields of papers citing papers by Robert D. Bremel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert D. Bremel

This figure shows the co-authorship network connecting the top 25 collaborators of Robert D. Bremel. A scholar is included among the top collaborators of Robert D. Bremel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert D. Bremel. Robert D. Bremel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Homan, E. Jane & Robert D. Bremel. (2023). Determinants of tumor immune evasion: the role of T cell exposed motif frequency and mutant amino acid exposure. Frontiers in Immunology. 14. 1155679–1155679. 1 indexed citations
2.
Harms, Jerome S., Cherisse L. Hall, Gary A. Splitter, et al.. (2018). Brucella Peptide Cross-Reactive Major Histocompatibility Complex Class I Presentation Activates SIINFEKL-Specific T Cell Receptor-Expressing T Cells. Infection and Immunity. 86(7). 6 indexed citations
3.
Homan, E. Jane & Robert D. Bremel. (2018). A Role for Epitope Networking in Immunomodulation by Helminths. Frontiers in Immunology. 9. 1763–1763. 5 indexed citations
4.
Høglund, Rune Alexander, Andreas Lossius, Jorunn N. Johansen, et al.. (2017). In Silico Prediction Analysis of Idiotope-Driven T–B Cell Collaboration in Multiple Sclerosis. Frontiers in Immunology. 8. 1255–1255. 10 indexed citations
5.
6.
Bremel, Robert D. & E. Jane Homan. (2013). Recognition of Higher Order Patterns in Proteins: Immunologic Kernels. PLoS ONE. 8(7). e70115–e70115. 18 indexed citations
7.
Homan, E. Jane & Robert D. Bremel. (2013). Are cases of mumps in vaccinated patients attributable to mismatches in both vaccine T-cell and B-cell epitopes?. Human Vaccines & Immunotherapeutics. 10(2). 290–300. 20 indexed citations
8.
Carryn, Stéphane, Deborah A. Schaefer, Michael Imboden, et al.. (2012). Phospholipases and Cationic Peptides Inhibit Cryptosporidium parvum Sporozoite Infectivity by Parasiticidal and Non-Parasiticidal Mechanisms. Journal of Parasitology. 98(1). 199–204. 29 indexed citations
9.
Homan, E. Jane & Robert D. Bremel. (2011). Patterns of Predicted T-Cell Epitopes Associated with Antigenic Drift in Influenza H3N2 Hemagglutinin. PLoS ONE. 6(10). e26711–e26711. 7 indexed citations
10.
Chan, Anthony W.S., George Kukolj, Anna Marie Skalka, & Robert D. Bremel. (1999). Timing of DNA integration, transgenic mosaicism, and pronuclear microinjection. Molecular Reproduction and Development. 52(4). 406–413. 51 indexed citations
11.
Pasquini, Marina, et al.. (1995). Factors Affecting Herd Milk Composition and Milk Plasmin at Four Levels of Somatic Cell Counts. Journal of Dairy Science. 78(10). 2186–2195. 36 indexed citations
12.
Mao, Frank C. & Robert D. Bremel. (1995). Prediction of Milk Yields from Serum β-Lactoglobulin Concentrations in Pregnant Heifers. Journal of Dairy Science. 78(2). 291–295. 7 indexed citations
13.
Bleck, Gregory T. & Robert D. Bremel. (1993). Correlation of the α-Lactalbumin (+15) Polymorphism to Milk Production and Milk Composition of Holsteins. Journal of Dairy Science. 76(8). 2292–2298. 40 indexed citations
14.
Bleck, Gregory T. & Robert D. Bremel. (1993). Sequence and single-base polymorphisms of the bovine α-lactalbumin 5'-flanking region. Gene. 126(2). 213–218. 40 indexed citations
15.
Bremel, Robert D., et al.. (1992). Xerographic paper as a transfer medium for Western blots: Quantification of bovine αS1-casein by Western blot. Analytical Biochemistry. 200(2). 249–253. 4 indexed citations
16.
Mao, Frank C., Robert D. Bremel, & M.R. Dentine. (1991). Serum Concentrations of the Milk Proteins α-Lactalbumin and β-Lactoglobulin in Pregnancy and Lactation: Correlations with Milk and Fat Yields in Dairy Cattle. Journal of Dairy Science. 74(9). 2952–2958. 19 indexed citations
17.
Bremel, Robert D., et al.. (1988). Characterization of Bovine Placental Lactogen as a GBycoprotein with N-Linked and O-Linked Carbohydrate Side Chains. Molecular Endocrinology. 2(9). 845–853. 27 indexed citations
18.
Bremel, Robert D., et al.. (1988). Prolactin, estradiol, and progesterone changes in paretic and nonparetic cows during the periparturient period. American Journal of Veterinary Research. 49(3). 411–416. 7 indexed citations
19.
Schuler, Linda A., et al.. (1988). Bovine placental lactogen: molecular cloning and protein structure. Biochemistry. 27(22). 8443–8448. 62 indexed citations
20.
Bremel, Robert D., et al.. (1977). Estimating Somatic Cells in Milk Samples by the Membrane-Filter-DNA Procedure. Journal of Food Protection. 40(1). 32–38. 19 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026