T. David Soong

2.2k total citations
11 papers, 533 citations indexed

About

T. David Soong is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Computational Theory and Mathematics. According to data from OpenAlex, T. David Soong has authored 11 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Computational Theory and Mathematics. Recurrent topics in T. David Soong's work include Protein Structure and Dynamics (2 papers), Biotin and Related Studies (2 papers) and Computational Drug Discovery Methods (2 papers). T. David Soong is often cited by papers focused on Protein Structure and Dynamics (2 papers), Biotin and Related Studies (2 papers) and Computational Drug Discovery Methods (2 papers). T. David Soong collaborates with scholars based in United States, Taiwan and Italy. T. David Soong's co-authors include Olivier Elemento, Ari Melnick, Yanwen Jiang, Karen Bunting, Yuheng Lu, Steven Zhang, Yushuai Wu, Nils Halberg, Sohail F. Tavazoie and Hani Goodarzi and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

T. David Soong

11 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. David Soong United States	7	383	87	80	78	77	11	533
Ching-Man Virbasius United States	8	593 1.5×	100 1.1×	106 1.3×	51 0.7×	88 1.1×	9	711
Gina M. Ney United States	12	273 0.7×	82 0.9×	82 1.0×	58 0.7×	102 1.3×	19	438
Xiaobing Miao China	12	237 0.6×	96 1.1×	100 1.3×	28 0.4×	71 0.9×	22	356
Kaat Durinck Belgium	13	335 0.9×	178 2.0×	93 1.2×	98 1.3×	101 1.3×	26	548
Brendon Ladd United States	11	489 1.3×	106 1.2×	109 1.4×	31 0.4×	29 0.4×	19	584
Andrew Volk United States	11	387 1.0×	84 1.0×	58 0.7×	165 2.1×	114 1.5×	25	547
Kerstin Maria Kampa-Schittenhelm Germany	12	283 0.7×	55 0.6×	171 2.1×	155 2.0×	90 1.2×	30	516
Roel Vandepoel Belgium	12	264 0.7×	61 0.7×	72 0.9×	97 1.2×	64 0.8×	14	439
Peter Haviernik United States	13	297 0.8×	79 0.9×	88 1.1×	89 1.1×	93 1.2×	25	441
Yolande Di Gioia France	10	283 0.7×	59 0.7×	81 1.0×	56 0.7×	99 1.3×	12	441

Countries citing papers authored by T. David Soong

Since Specialization

Citations

This map shows the geographic impact of T. David Soong'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 T. David Soong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. David Soong more than expected).

Fields of papers citing papers by T. David Soong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. David Soong. 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 T. David Soong. The network helps show where T. David Soong may publish in the future.

Co-authorship network of co-authors of T. David Soong

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

All Works

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11 of 11 papers shown

Bunting, Karen, T. David Soong, Rajat Singh, et al.. (2016). Multi-tiered Reorganization of the Genome during B Cell Affinity Maturation Anchored by a Germinal Center-Specific Locus Control Region. Immunity. 45(3). 497–512. 96 indexed citations

Furlow, Paul W., Steven Zhang, T. David Soong, et al.. (2015). Mechanosensitive pannexin-1 channels mediate microvascular metastatic cell survival. Nature Cell Biology. 17(7). 943–952. 117 indexed citations

Sun, Xiao‐Jian, Zhanxin Wang, Lan Wang, et al.. (2013). A stable transcription factor complex nucleated by oligomeric AML1–ETO controls leukaemogenesis. Nature. 500(7460). 93–97. 99 indexed citations

Lu, Yuheng, T. David Soong, & Olivier Elemento. (2013). A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells. PLoS ONE. 8(5). e63056–e63056. 41 indexed citations

Jiang, Yanwen, T. David Soong, Ling Wang, Ari Melnick, & Olivier Elemento. (2012). Genome-Wide Detection of Genes Targeted by Non-Ig Somatic Hypermutation in Lymphoma. PLoS ONE. 7(7). e40332–e40332. 39 indexed citations

Rickman, David S., T. David Soong, B.J. Moss, et al.. (2012). Oncogene-mediated alterations in chromatin conformation. Proceedings of the National Academy of Sciences. 109(23). 9083–9088. 103 indexed citations

Rickman, David S., Ari Melnick, Olivier Elemento, et al.. (2012). Abstract A31: ERG-mediated alterations in chromatin conformation. Cancer Research. 72(4_Supplement). A31–A31. 1 indexed citations

Soong, T. David, Kazimierz O. Wrzeszczyński, & Burkhard Rost. (2008). Physical protein–protein interactions predicted from microarrays. Bioinformatics. 24(22). 2608–2614. 30 indexed citations

Ofran, Yanay, et al.. (2006). Create and assess protein networks through molecular characteristics of individual proteins. Bioinformatics. 22(14). e402–e407. 4 indexed citations

10.

Soong, T. David, et al.. (2004). Discovery of Recurrent Structural Motifs for Approximating Three‐Dimensional Protein Structures. Journal of the Chinese Chemical Society. 51(5B). 1107–1114. 2 indexed citations

11.

Soong, T. David, et al.. (2004). Derivation and analysis of fragment libraries of protein structures. 5. 516–521. 1 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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