Michael W. Sneddon

2.8k total citations
9 papers, 823 citations indexed

About

Michael W. Sneddon is a scholar working on Molecular Biology, Biophysics and Immunology. According to data from OpenAlex, Michael W. Sneddon has authored 9 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Biophysics and 2 papers in Immunology. Recurrent topics in Michael W. Sneddon's work include Gene Regulatory Network Analysis (4 papers), Immunotherapy and Immune Responses (2 papers) and Diffusion and Search Dynamics (2 papers). Michael W. Sneddon is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Immunotherapy and Immune Responses (2 papers) and Diffusion and Search Dynamics (2 papers). Michael W. Sneddon collaborates with scholars based in United States and France. Michael W. Sneddon's co-authors include Thierry Emonet, James R. Faeder, William Pontius, Thorsten R. Mempel, Mark J. Shlomchik, Ann M. Haberman, Sarah E. Henrickson, Ulrich H. von Andrian, Tobias Junt and Anja E. Hauser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Development.

In The Last Decade

Michael W. Sneddon

9 papers receiving 811 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael W. Sneddon United States	7	406	334	102	98	65	9	823
Walter de Back Germany	10	260 0.6×	57 0.2×	118 1.2×	92 0.9×	74 1.1×	19	558
Felix Zhou United Kingdom	12	355 0.9×	88 0.3×	93 0.9×	116 1.2×	65 1.0×	26	638
Mae Woods United States	9	257 0.6×	90 0.3×	219 2.1×	123 1.3×	86 1.3×	17	577
Colin McCann United States	6	133 0.3×	163 0.5×	171 1.7×	110 1.1×	37 0.6×	9	495
Assaf Zaritsky Israel	16	570 1.4×	78 0.2×	332 3.3×	146 1.5×	116 1.8×	36	1.1k
Jitendra Kanodia United States	15	354 0.9×	45 0.1×	101 1.0×	101 1.0×	52 0.8×	32	639
Oleg Milberg United States	8	246 0.6×	112 0.3×	124 1.2×	109 1.1×	146 2.2×	12	618
Paul Kriebel United States	10	420 1.0×	76 0.2×	312 3.1×	124 1.3×	126 1.9×	12	802
Giorgio Gaglia United States	11	521 1.3×	80 0.2×	113 1.1×	47 0.5×	257 4.0×	20	702
Michael J. Stulberg United States	12	457 1.1×	68 0.2×	155 1.5×	31 0.3×	101 1.6×	27	722

Countries citing papers authored by Michael W. Sneddon

Since Specialization

Citations

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

Fields of papers citing papers by Michael W. Sneddon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael W. Sneddon. 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 Michael W. Sneddon. The network helps show where Michael W. Sneddon may publish in the future.

Co-authorship network of co-authors of Michael W. Sneddon

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

All Works

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9 of 9 papers shown

1.

Chivian, Dylan, Sean P. Jungbluth, Paramvir Dehal, et al.. (2022). Metagenome-assembled genome extraction and analysis from microbiomes using KBase. Nature Protocols. 18(1). 208–238. 56 indexed citations

2.

Lawton, Andrew K., Amitabha Nandi, Michael J. Stulberg, et al.. (2013). Regulated tissue fluidity steers zebrafish body elongation. Development. 140(3). 573–582. 107 indexed citations

3.

Pontius, William, Michael W. Sneddon, & Thierry Emonet. (2013). Adaptation Dynamics in Densely Clustered Chemoreceptors. PLoS Computational Biology. 9(9). e1003230–e1003230. 19 indexed citations

4.

Sneddon, Michael W. & Thierry Emonet. (2012). Modeling cellular signaling: taking space into the computation. Nature Methods. 9(3). 239–242. 5 indexed citations

5.

Dufour, Y., Michael W. Sneddon, & Thierry Emonet. (2011). Thermal Robustness: Lessons from Bacterial Chemotaxis. Current Biology. 21(12). R465–R468. 3 indexed citations

6.

Sneddon, Michael W., William Pontius, & Thierry Emonet. (2011). Stochastic coordination of multiple actuators reduces latency and improves chemotactic response in bacteria. Proceedings of the National Academy of Sciences. 109(3). 805–810. 48 indexed citations

7.

Sneddon, Michael W., James R. Faeder, & Thierry Emonet. (2010). Efficient modeling, simulation and coarse-graining of biological complexity with NFsim. Nature Methods. 8(2). 177–183. 188 indexed citations

8.

Feinerman, Ofer, Garrit Jentsch, Karen Tkach, et al.. (2010). Single‐cell quantification of IL‐2 response by effector and regulatory T cells reveals critical plasticity in immune response. Molecular Systems Biology. 6(1). 437–437. 159 indexed citations

9.

Hauser, Anja E., Tobias Junt, Thorsten R. Mempel, et al.. (2007). Definition of Germinal-Center B Cell Migration In Vivo Reveals Predominant Intrazonal Circulation Patterns. Immunity. 26(5). 655–667. 238 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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