Stephen J. Terry

22 total papers · 1.2k total citations
16 papers, 887 citations indexed

About

Stephen J. Terry is a scholar working on Molecular Biology, Cell Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Stephen J. Terry has authored 16 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Stephen J. Terry's work include Cellular Mechanics and Interactions (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Barrier Structure and Function Studies (3 papers). Stephen J. Terry is often cited by papers focused on Cellular Mechanics and Interactions (5 papers), Hippo pathway signaling and YAP/TAZ (4 papers) and Barrier Structure and Function Studies (3 papers). Stephen J. Terry collaborates with scholars based in United Kingdom, Singapore and United States. Stephen J. Terry's co-authors include Karl Matter, María S. Balda, Ceniz Zihni, D. A. T. New, Paola Coppola, Ahmed Elbediwy, Mei Nie, Elisa Vitiello, Gloria Rudenko and Jeremy G. Carlton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and The Journal of Cell Biology.

In The Last Decade

Stephen J. Terry

16 papers receiving 873 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stephen J. Terry	496	291	156	145	131	16	887
Madhavi P. Maddugoda	648 1.3×	476 1.6×	66 0.4×	56 0.4×	64 0.5×	13	1.0k
Jayeeta Roychoudhury	492 1.0×	69 0.2×	110 0.7×	87 0.6×	94 0.7×	12	904
M H Wong	387 0.8×	119 0.4×	49 0.3×	63 0.4×	52 0.4×	22	864
Heide Plesken	699 1.4×	248 0.9×	41 0.3×	143 1.0×	33 0.3×	9	1.0k
Canhong Cao	592 1.2×	402 1.4×	49 0.3×	94 0.6×	24 0.2×	11	875
Sébastien Gaumer	585 1.2×	248 0.9×	33 0.2×	348 2.4×	86 0.7×	23	1.0k
Myrna Sabanero	343 0.7×	130 0.4×	201 1.3×	66 0.5×	56 0.4×	23	703
Sivaraman Natarajan	506 1.0×	130 0.4×	67 0.4×	176 1.2×	26 0.2×	19	857
Ching-Ming Wu	339 0.7×	63 0.2×	77 0.5×	154 1.1×	96 0.7×	15	792
D Muir	289 0.6×	96 0.3×	80 0.5×	46 0.3×	67 0.5×	16	731

Countries citing papers authored by Stephen J. Terry

Since Specialization

Citations

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

Fields of papers citing papers by Stephen J. Terry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen J. Terry. 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 J. Terry. The network helps show where Stephen J. Terry may publish in the future.

Co-authorship network of co-authors of Stephen J. Terry

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

All Works

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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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