M Kellogg

637 total citations
4 papers, 416 citations indexed

About

M Kellogg is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, M Kellogg has authored 4 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in M Kellogg's work include Amyotrophic Lateral Sclerosis Research (2 papers), Single-cell and spatial transcriptomics (2 papers) and Neuroscience and Neural Engineering (2 papers). M Kellogg is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (2 papers), Single-cell and spatial transcriptomics (2 papers) and Neuroscience and Neural Engineering (2 papers). M Kellogg collaborates with scholars based in United States, Netherlands and Switzerland. M Kellogg's co-authors include Cédric Bardy, Tameji Eames, Mark van den Hurk, Fred H. Gage, Mark A.J. Gorris, Leah Boyer, Jérôme Mertens, Suzanne Simon, Anne G. Bang and Lena Böhnke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Psychiatry and Cell Systems.

In The Last Decade

M Kellogg

4 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M Kellogg United States	3	293	200	76	51	51	4	416
Tameji Eames United Kingdom	4	271 0.9×	196 1.0×	74 1.0×	50 1.0×	50 1.0×	5	407
Mark van den Hurk Australia	11	396 1.4×	248 1.2×	111 1.5×	72 1.4×	83 1.6×	11	602
Kristin G. Beaumont United States	10	385 1.3×	126 0.6×	52 0.7×	41 0.8×	57 1.1×	35	562
Peter Verstraelen Belgium	12	216 0.7×	187 0.9×	90 1.2×	32 0.6×	29 0.6×	17	403
Themasap A. Khan United States	2	301 1.0×	118 0.6×	92 1.2×	86 1.7×	130 2.5×	3	423
Bas Lendemeijer Netherlands	7	205 0.7×	92 0.5×	69 0.9×	49 1.0×	73 1.4×	8	355
Kent Imaizumi Japan	14	395 1.3×	201 1.0×	78 1.0×	51 1.0×	137 2.7×	23	591
Olga S. Lebedeva Russia	10	306 1.0×	182 0.9×	39 0.5×	30 0.6×	39 0.8×	44	438
Kai-Heng Fang China	9	280 1.0×	128 0.6×	96 1.3×	22 0.4×	103 2.0×	10	398
Madisen Johnson United States	4	264 0.9×	228 1.1×	69 0.9×	28 0.5×	117 2.3×	6	385

Countries citing papers authored by M Kellogg

Since Specialization

Citations

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

Fields of papers citing papers by M Kellogg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Kellogg. 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 M Kellogg. The network helps show where M Kellogg may publish in the future.

Co-authorship network of co-authors of M Kellogg

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

All Works

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4 of 4 papers shown

1.

Ho, Ritchie, Michael J. Workman, Kathryn Wu, et al.. (2020). Cross-Comparison of Human iPSC Motor Neuron Models of Familial and Sporadic ALS Reveals Early and Convergent Transcriptomic Disease Signatures. Cell Systems. 12(2). 159–175.e9. 26 indexed citations

2.

Ho, Ritchie, Michael J. Workman, Kathryn Wu, et al.. (2020). Single-Cell RNA-Seq Analysis of Human iPSC-Derived Motor Neurons Resolves Early and Predictive ALS Signatures. SSRN Electronic Journal. 1 indexed citations

3.

Bardy, Cédric, Mark van den Hurk, Boyko Kakaradov, et al.. (2016). Predicting the functional states of human iPSC-derived neurons with single-cell RNA-seq and electrophysiology. Molecular Psychiatry. 21(11). 1573–1588. 121 indexed citations

4.

Bardy, Cédric, Mark van den Hurk, Tameji Eames, et al.. (2015). Neuronal medium that supports basic synaptic functions and activity of human neurons in vitro. Proceedings of the National Academy of Sciences. 112(20). E2725–34. 268 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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