Barbara A. Koop

896 total citations
8 papers, 736 citations indexed

About

Barbara A. Koop is a scholar working on Molecular Biology, Genetics and Immunology and Allergy. According to data from OpenAlex, Barbara A. Koop has authored 8 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Immunology and Allergy. Recurrent topics in Barbara A. Koop's work include Bone Metabolism and Diseases (3 papers), interferon and immune responses (2 papers) and Virus-based gene therapy research (2 papers). Barbara A. Koop is often cited by papers focused on Bone Metabolism and Diseases (3 papers), interferon and immune responses (2 papers) and Virus-based gene therapy research (2 papers). Barbara A. Koop collaborates with scholars based in United States and Japan. Barbara A. Koop's co-authors include Jolene J. Windle, Gregory R. Mundy, Lynda F. Bonewald, Yoichi Kato, G. David Roodman, Sakamuri V. Reddy, John M. Wozney, Brendan F. Boyce, Noriyoshi Kurihara and G R Mundy and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Endocrinology.

In The Last Decade

Barbara A. Koop

8 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barbara A. Koop United States	8	523	259	141	123	87	8	736
Konosuke Nakayama Japan	9	337 0.6×	204 0.8×	141 1.0×	97 0.8×	68 0.8×	13	625
April Mason‐Savas United States	17	542 1.0×	237 0.9×	65 0.5×	182 1.5×	51 0.6×	28	805
M Sabatini United States	11	447 0.9×	260 1.0×	103 0.7×	198 1.6×	112 1.3×	15	850
Marta Alvarez United States	17	564 1.1×	127 0.5×	104 0.7×	65 0.5×	89 1.0×	32	848
Chung-Fang Lai United States	7	600 1.1×	180 0.7×	49 0.3×	142 1.2×	167 1.9×	7	941
A. Pocock United Kingdom	6	272 0.5×	202 0.8×	81 0.6×	110 0.9×	54 0.6×	8	525
Shuichi Akiyama Japan	11	924 1.8×	435 1.7×	110 0.8×	181 1.5×	90 1.0×	11	1.1k
Brian A Uthgenannt United States	7	351 0.7×	207 0.8×	168 1.2×	68 0.6×	56 0.6×	8	579
Narihiro Mitsui Japan	17	328 0.6×	103 0.4×	59 0.4×	121 1.0×	77 0.9×	17	647
Shuzo Tagashira Japan	7	507 1.0×	162 0.6×	52 0.4×	110 0.9×	66 0.8×	8	662

Countries citing papers authored by Barbara A. Koop

Since Specialization

Citations

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

Fields of papers citing papers by Barbara A. Koop

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara A. Koop. 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 Barbara A. Koop. The network helps show where Barbara A. Koop may publish in the future.

Co-authorship network of co-authors of Barbara A. Koop

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

All Works

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8 of 8 papers shown

Gelb, Bruce E., Barbara A. Koop, Jolene J. Windle, et al.. (2002). Split Tolerance in a Novel Transgenic Model of Autoimmune Myasthenia Gravis. The Journal of Immunology. 169(11). 6570–6579. 14 indexed citations

Reddy, Sakamuri V., Noriyoshi Kurihara, Cheikh Menaa, et al.. (2001). Osteoclasts Formed by Measles Virus-Infected Osteoclast Precursors from hCD46 Transgenic Mice Express Characteristics of Pagetic Osteoclasts*. Endocrinology. 142(7). 2898–2905. 52 indexed citations

Hentunen, Teuvo A., Sakamuri V. Reddy, Brendan F. Boyce, et al.. (1998). Immortalization of osteoclast precursors by targeting Bcl -XL and Simian virus 40 large T antigen to the osteoclast lineage in transgenic mice.. Journal of Clinical Investigation. 102(1). 88–97. 47 indexed citations

Syed, Nasreen A., Jolene J. Windle, Soesiawati R. Darjatmoko, et al.. (1998). Transgenic mice with pigmented intraocular tumors: tissue of origin and treatment.. PubMed. 39(13). 2800–5. 26 indexed citations

Kato, Yoichi, Jolene J. Windle, Barbara A. Koop, Gregory R. Mundy, & Lynda F. Bonewald. (1997). Establishment of an Osteocyte-like Cell Line, MLO-Y4. Journal of Bone and Mineral Research. 12(12). 2014–2023. 440 indexed citations

Ghosh‐Choudhury, Nandini, Jolene J. Windle, Barbara A. Koop, et al.. (1996). Immortalized murine osteoblasts derived from BMP 2-T-antigen expressing transgenic mice.. Endocrinology. 137(1). 331–339. 82 indexed citations

Qiang, Jian, Jolene J. Windle, Barbara A. Koop, et al.. (1995). Osteoblastic cell lines derived from a transgenic mouse containing the osteocalcin promoter driving SV40 T-antigen. 3(3). 193–212. 34 indexed citations

Boyce, Brendan F., Kenneth R. Wright, Sakamuri V. Reddy, et al.. (1995). Targeting simian virus 40 T antigen to the osteoclast in transgenic mice causes osteoclast tumors and transformation and apoptosis of osteoclasts.. Endocrinology. 136(12). 5751–5759. 41 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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