Stephen O’Gorman

2.8k total citations
17 papers, 2.3k citations indexed

About

Stephen O’Gorman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Stephen O’Gorman has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Developmental Neuroscience. Recurrent topics in Stephen O’Gorman's work include Neuroscience and Neuropharmacology Research (5 papers), CRISPR and Genetic Engineering (4 papers) and Developmental Biology and Gene Regulation (4 papers). Stephen O’Gorman is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), CRISPR and Genetic Engineering (4 papers) and Developmental Biology and Gene Regulation (4 papers). Stephen O’Gorman collaborates with scholars based in United States, France and Poland. Stephen O’Gorman's co-authors include Geoffrey M. Wahl, Geoffrey T. Swanson, Stephen F. Heinemann, Andreas W. Sailer, Richard L. Sidman, Peter Blume‐Jensen, Guoqiang Jiang, Robert Hyman, Kuo‐Fen Lee and Tony Hunter and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Stephen O’Gorman

17 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen O’Gorman United States	14	1.7k	524	514	272	184	17	2.3k
Kunio Kitamura Japan	32	2.1k 1.2×	556 1.1×	538 1.0×	487 1.8×	325 1.8×	92	3.4k
Cory R. Nicholas United States	13	1.4k 0.8×	526 1.0×	432 0.8×	197 0.7×	70 0.4×	15	1.9k
Tomoyuki Tokunaga Japan	22	1.8k 1.0×	582 1.1×	236 0.5×	188 0.7×	197 1.1×	50	2.4k
Sarah B. Pierce United States	25	2.8k 1.6×	430 0.8×	318 0.6×	193 0.7×	455 2.5×	32	4.0k
Brian G. Condie United States	30	2.4k 1.4×	618 1.2×	632 1.2×	176 0.6×	299 1.6×	46	3.3k
Maxime Bouchard Canada	28	2.5k 1.5×	556 1.1×	238 0.5×	192 0.7×	218 1.2×	65	3.2k
Jacqueline van der Wees Netherlands	26	1.0k 0.6×	302 0.6×	258 0.5×	499 1.8×	174 0.9×	46	3.1k
Michio Yoshida Japan	16	1.4k 0.8×	493 0.9×	490 1.0×	59 0.2×	146 0.8×	32	2.0k
Isabelle Bar Belgium	19	957 0.6×	432 0.8×	508 1.0×	131 0.5×	200 1.1×	37	1.7k
Michael G. Rosenfeld United States	18	2.5k 1.5×	1.6k 3.0×	420 0.8×	335 1.2×	134 0.7×	21	4.0k

Countries citing papers authored by Stephen O’Gorman

Since Specialization

Citations

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

Fields of papers citing papers by Stephen O’Gorman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen O’Gorman. 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 Stephen O’Gorman. The network helps show where Stephen O’Gorman may publish in the future.

Co-authorship network of co-authors of Stephen O’Gorman

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

All Works

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17 of 17 papers shown

Yang, Xiu, et al.. (2008). Altered neuronal lineages in the facial ganglia of Hoxa2 mutant mice. Developmental Biology. 314(1). 171–188. 12 indexed citations

Rottkamp, Catherine A., et al.. (2007). Pbx3 is required for normal locomotion and dorsal horn development. Developmental Biology. 314(1). 23–39. 25 indexed citations

O’Gorman, Stephen. (2005). Second branchial arch lineages of the middle ear of wild‐type and Hoxa2 mutant mice. Developmental Dynamics. 234(1). 124–131. 68 indexed citations

Selleri, Licia, Michael J. Depew, Yakop Jacobs, et al.. (2001). Requirement forPbx1in skeletal patterning and programming chondrocyte proliferation and differentiation. Development. 128(18). 3543–3557. 251 indexed citations

DiMartino, Jorge, Licia Selleri, David Traver, et al.. (2001). The Hox cofactor and proto-oncogene Pbx1 is required for maintenance of definitive hematopoiesis in the fetal liver. Blood. 98(3). 618–626. 133 indexed citations

Mulle, Christophe, Andreas W. Sailer, Geoffrey T. Swanson, et al.. (2000). Subunit Composition of Kainate Receptors in Hippocampal Interneurons. Neuron. 28(2). 475–484. 172 indexed citations

Contractor, Anis, Geoffrey T. Swanson, Andreas W. Sailer, Stephen O’Gorman, & Stephen F. Heinemann. (2000). Identification of the Kainate Receptor Subunits Underlying Modulation of Excitatory Synaptic Transmission in the CA3 Region of the Hippocampus. Journal of Neuroscience. 20(22). 8269–8278. 149 indexed citations

Blume‐Jensen, Peter, Guoqiang Jiang, Robert Hyman, et al.. (2000). Kit/stem cell factor receptor-induced activation of phosphatidylinositol 3′-kinase is essential for male fertility. Nature Genetics. 24(2). 157–162. 271 indexed citations

Jimenez, Gretchen S., et al.. (2000). A transactivation-deficient mouse model provides insights into Trp53 regulation and function. Nature Genetics. 26(1). 37–43. 172 indexed citations

10.

Sailer, Andreas W., Geoffrey T. Swanson, Isabel Pérez‐Otaño, et al.. (1999). Generation and Analysis of GluR5(Q636R) Kainate Receptor Mutant Mice. Journal of Neuroscience. 19(20). 8757–8764. 58 indexed citations

11.

O’Gorman, Stephen & Geoffrey M. Wahl. (1997). Mouse Engineering. Science. 277(5329). 1021–1025. 4 indexed citations

12.

Aladjem, Mirit I., Linnea L. Brody, Stephen O’Gorman, & Geoffrey M. Wahl. (1997). Positive Selection of FLP-Mediated Unequal Sister Chromatid Exchange Products in Mammalian Cells. Molecular and Cellular Biology. 17(2). 857–861. 7 indexed citations

13.

O’Gorman, Stephen, et al.. (1997). Protamine-Cre recombinase transgenes efficiently recombine target sequences in the male germ line of mice, but not in embryonic stem cells. Proceedings of the National Academy of Sciences. 94(26). 14602–14607. 397 indexed citations

14.

O’Gorman, Stephen, et al.. (1991). Recombinase-Mediated Gene Activation and Site-Specific Integration in Mammalian Cells. Science. 251(4999). 1351–1355. 447 indexed citations

15.

O’Gorman, Stephen. (1985). Degeneration of thalamic neurons in “Purkinje cell degeneration” mutant mice. II. Cytology of neuron loss. The Journal of Comparative Neurology. 234(3). 298–316. 31 indexed citations

16.

O’Gorman, Stephen & Richard L. Sidman. (1985). Degeneration of thalamic neurons in “Purkinje cell degeneration” mutant mice. I. Distribution of neuron loss. The Journal of Comparative Neurology. 234(3). 277–297. 74 indexed citations

17.

Roffler‐Tarlov, Suzanne, P.M. Beart, Stephen O’Gorman, & Richard L. Sidman. (1979). Neurochemical and morphological consequences of axon terminal degeneration in cerebellar deep nuclei of mice with inherited purkinje cell degeneration. Brain Research. 168(1). 75–95. 53 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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