Daniel R. Buskirk

697 total citations
7 papers, 548 citations indexed

About

Daniel R. Buskirk is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Developmental Neuroscience. According to data from OpenAlex, Daniel R. Buskirk has authored 7 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Developmental Neuroscience. Recurrent topics in Daniel R. Buskirk's work include Streptococcal Infections and Treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Neonatal and fetal brain pathology (1 paper). Daniel R. Buskirk is often cited by papers focused on Streptococcal Infections and Treatments (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Neonatal and fetal brain pathology (1 paper). Daniel R. Buskirk collaborates with scholars based in United States. Daniel R. Buskirk's co-authors include Fernando Nottebohm, Arturo Álvarez-Buylla, Urs Rutishauser, Gerald M. Edelman, Jean Paul Thiery, John B. Zabriskie, Allan Gibofsky, Ashwani Khanna, Irving M. Faust and Michael J. Lyons and has published in prestigious journals such as Nature, Science and Journal of Clinical Investigation.

In The Last Decade

Daniel R. Buskirk

7 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel R. Buskirk United States	6	204	107	98	98	71	7	548
Hirofumi Sueki Japan	5	291 1.4×	138 1.3×	46 0.5×	38 0.4×	66 0.9×	14	847
Tsuyoshi Iida Japan	18	547 2.7×	244 2.3×	58 0.6×	116 1.2×	70 1.0×	40	998
Brian T. Faddis United States	15	376 1.8×	251 2.3×	48 0.5×	85 0.9×	43 0.6×	31	1.0k
D Muir United Kingdom	9	289 1.4×	255 2.4×	67 0.7×	300 3.1×	29 0.4×	16	731
Carl L. Scholtz United Kingdom	21	175 0.9×	173 1.6×	69 0.7×	25 0.3×	106 1.5×	43	1.1k
Cynthia S. Duchala United States	18	341 1.7×	123 1.1×	41 0.4×	183 1.9×	108 1.5×	23	924
John P. Rossiter Canada	18	303 1.5×	166 1.6×	118 1.2×	105 1.1×	140 2.0×	46	995
Christian Alfano France	13	266 1.3×	168 1.6×	170 1.7×	145 1.5×	93 1.3×	17	615
C Vedrenne France	13	167 0.8×	169 1.6×	71 0.7×	31 0.3×	43 0.6×	30	1.3k
Guoliang Chai China	10	214 1.0×	88 0.8×	190 1.9×	43 0.4×	61 0.9×	19	526

Countries citing papers authored by Daniel R. Buskirk

Since Specialization

Citations

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

Fields of papers citing papers by Daniel R. Buskirk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Buskirk. 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 Daniel R. Buskirk. The network helps show where Daniel R. Buskirk may publish in the future.

Co-authorship network of co-authors of Daniel R. Buskirk

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Khanna, Ashwani, Daniel R. Buskirk, Ralph C. Williams, et al.. (1989). Presence of a non-HLA B cell antigen in rheumatic fever patients and their families as defined by a monoclonal antibody.. Journal of Clinical Investigation. 83(5). 1710–1716. 115 indexed citations

2.

Froude, Jeffrey W., Allan Gibofsky, Daniel R. Buskirk, Ashwani Khanna, & John B. Zabriskie. (1989). Cross-Reactivity Between Streptococcus and Human Tissue: A Model of Molecular Mimicry and Autoimmunity. Current topics in microbiology and immunology. 145. 5–26. 49 indexed citations

3.

Álvarez-Buylla, Arturo, Daniel R. Buskirk, & Fernando Nottebohm. (1987). Monoclonal antibody reveals radial glia in adult avian brain. The Journal of Comparative Neurology. 264(2). 159–170. 139 indexed citations

4.

Friedman, Jacqueline, et al.. (1987). The detection of brain antigens within the circulating immune complexes of patients with multiple sclerosis. Journal of Neuroimmunology. 14(1). 1–17. 7 indexed citations

5.

Nottebohm, Fernando, et al.. (1985). Glial fibers in adult canary brain are thought to act as pathways for putative migrating neuroblasts. The Society for Neuroscience Abstracts. 11(2). 964. 2 indexed citations

6.

Lyons, Michael J., et al.. (1982). A Virally Induced Obesity Syndrome in Mice. Science. 216(4541). 82–85. 97 indexed citations

7.

Buskirk, Daniel R., Jean Paul Thiery, Urs Rutishauser, & Gerald M. Edelman. (1980). Antibodies to a neural cell adhesion molecule disrupt histogenesis in cultured chick retinae. Nature. 285(5765). 488–489. 139 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