G K Buckenmeyer

589 total citations
10 papers, 486 citations indexed

About

G K Buckenmeyer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, G K Buckenmeyer has authored 10 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cell Biology. Recurrent topics in G K Buckenmeyer's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Hemoglobin structure and function (4 papers). G K Buckenmeyer is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Hemoglobin structure and function (4 papers). G K Buckenmeyer collaborates with scholars based in United States, Ukraine and Thailand. G K Buckenmeyer's co-authors include Jay A. Berzofsky, Ira Berkower, Frank R.N. Gurd, John D. Minna, Richard J. Feldmann, DL Longo, L A Matis, J A Berzofsky, Kemp B. Cease and M. Kojima and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

G K Buckenmeyer

10 papers receiving 449 citations

Peers

G K Buckenmeyer
S. Plaué France
H Ambrosius Germany
Jihye Jang‐Lee United Kingdom
Mae Joanne Rosok United States
Glenn A. Healey United States
Stephen J. McAndrew United States
Glendowlyn O. Young United States
S. Plaué France
G K Buckenmeyer
Citations per year, relative to G K Buckenmeyer G K Buckenmeyer (= 1×) peers S. Plaué

Countries citing papers authored by G K Buckenmeyer

Since Specialization
Citations

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

Fields of papers citing papers by G K Buckenmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G K Buckenmeyer. 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 G K Buckenmeyer. The network helps show where G K Buckenmeyer may publish in the future.

Co-authorship network of co-authors of G K Buckenmeyer

This figure shows the co-authorship network connecting the top 25 collaborators of G K Buckenmeyer. A scholar is included among the top collaborators of G K Buckenmeyer 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 G K Buckenmeyer. G K Buckenmeyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Kojima, M., Kemp B. Cease, G K Buckenmeyer, & Jay A. Berzofsky. (1988). Limiting dilution comparison of the repertoires of high and low responder MHC-restricted T cells.. The Journal of Experimental Medicine. 167(3). 1100–1113. 37 indexed citations
3.
Berkower, Ira, G K Buckenmeyer, & Jay A. Berzofsky. (1986). Molecular mapping of a histocompatibility-restricted immunodominant T cell epitope with synthetic and natural peptides: implications for T cell antigenic structure.. The Journal of Immunology. 136(7). 2498–2503. 84 indexed citations
4.
Cease, Kemp B., et al.. (1986). Immunologically relevant peptide antigen exists on the presenting cell in a manner accessible to macromolecules in solution.. The Journal of Experimental Medicine. 164(5). 1440–1454. 11 indexed citations
5.
Streicher, Howard, Frank Cuttitta, G K Buckenmeyer, et al.. (1986). Mapping the idiotopes of a monoclonal anti-myoglobin antibody with syngeneic monoclonal anti-idiotypic antibodies: detection of a common idiotope.. The Journal of Immunology. 136(3). 1007–1014. 32 indexed citations
6.
Berkower, Ira, L A Matis, G K Buckenmeyer, et al.. (1984). Identification of distinct predominant epitopes recognized by myoglobin-specific T cells under the control of different Ir genes and characterization of representative T cell clones.. The Journal of Immunology. 132(3). 1370–1378. 93 indexed citations
7.
Buckenmeyer, G K & Mark A. Hermodson. (1983). The amino acid sequence of D-ribose-binding protein from Salmonella typhimurium ST1.. Journal of Biological Chemistry. 258(21). 12957–12957. 5 indexed citations
8.
Berzofsky, Jay A., et al.. (1982). Topographic antigenic determinants recognized by monoclonal antibodies to sperm whale myoglobin.. Journal of Biological Chemistry. 257(6). 3189–3198. 126 indexed citations
9.
Berkower, Ira, G K Buckenmeyer, Frank R.N. Gurd, & J A Berzofsky. (1982). A possible immunodominant epitope recognized by murine T lymphocytes immune to different myoglobins.. Proceedings of the National Academy of Sciences. 79(15). 4723–4727. 51 indexed citations
10.
Berzofsky, J A, G K Buckenmeyer, & Glenn R. Hicks. (1982). Genetic control of the immune response to myoglobins. VI. Distinct Ir genes for different myoglobins: complementing genes in I-A and H-2D for equine myoglobin.. The Journal of Immunology. 128(2). 737–741. 11 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.

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