Maya K. Weigel

1.1k total citations · 1 hit paper
6 papers, 742 citations indexed

About

Maya K. Weigel is a scholar working on Neurology, Immunology and Molecular Biology. According to data from OpenAlex, Maya K. Weigel has authored 6 papers receiving a total of 742 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 3 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Maya K. Weigel's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (2 papers) and Immune cells in cancer (2 papers). Maya K. Weigel is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Alzheimer's disease research and treatments (2 papers) and Immune cells in cancer (2 papers). Maya K. Weigel collaborates with scholars based in United States, Belgium and Germany. Maya K. Weigel's co-authors include Shane A. Liddelow, Kevin A. Guttenplan, Ben A. Barres, Aaron D. Gitler, Drew Adler, Alexandra E. Münch, Julien Couthouis, Priya Prakash, Gaurav Chopra and Philip Hasel and has published in prestigious journals such as Nature, Nature Communications and Journal of Neurochemistry.

In The Last Decade

Maya K. Weigel

5 papers receiving 739 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neurotoxic reactive astrocytes induce cell death via saturated lipids

2021 361 citations Kevin A. Guttenplan, Maya K. Weigel et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maya K. Weigel United States	5	421	271	169	152	137	6	742
Vasiliki Kyrargyri Greece	8	603 1.4×	272 1.0×	304 1.8×	234 1.5×	94 0.7×	12	1.1k
Alerie Guzman de la Fuente United Kingdom	14	322 0.8×	288 1.1×	165 1.0×	119 0.8×	65 0.5×	22	808
Luc Grandbarbe Luxembourg	11	500 1.2×	340 1.3×	229 1.4×	206 1.4×	145 1.1×	13	972
Yanxia Rao China	11	612 1.5×	210 0.8×	95 0.6×	119 0.8×	47 0.3×	22	832
Megan Varnum United States	6	304 0.7×	245 0.9×	175 1.0×	74 0.5×	60 0.4×	8	594
Selva Baltan United States	18	385 0.9×	530 2.0×	150 0.9×	314 2.1×	149 1.1×	36	1.1k
Atsuko Katsumoto Japan	12	275 0.7×	295 1.1×	136 0.8×	136 0.9×	186 1.4×	20	733
Jacob A. Blum United States	9	234 0.6×	321 1.2×	121 0.7×	130 0.9×	102 0.7×	10	640
Eleonora Morga Luxembourg	11	392 0.9×	160 0.6×	194 1.1×	95 0.6×	49 0.4×	11	627
Megan Torvell United Kingdom	9	244 0.6×	163 0.6×	141 0.8×	147 1.0×	61 0.4×	12	541

Countries citing papers authored by Maya K. Weigel

Since Specialization

Citations

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

Fields of papers citing papers by Maya K. Weigel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya K. Weigel. 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 Maya K. Weigel. The network helps show where Maya K. Weigel may publish in the future.

Co-authorship network of co-authors of Maya K. Weigel

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

All Works

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6 of 6 papers shown

1.

Münch, Alexandra E., Maya K. Weigel, K Inoue, et al.. (2024). Blocking of microglia-astrocyte proinflammatory signaling is beneficial following stroke. Frontiers in Molecular Neuroscience. 16. 1305949–1305949. 11 indexed citations

2.

Raasakka, Arne, Marcel Schröder, Shama Sograte‐Idrissi, et al.. (2024). Nanobodies against the myelin enzyme CNPase as tools for structural and functional studies. Journal of Neurochemistry. 169(1). e16274–e16274.

3.

Guttenplan, Kevin A., Maya K. Weigel, Priya Prakash, et al.. (2021). Neurotoxic reactive astrocytes induce cell death via saturated lipids. Nature. 599(7883). 102–107. 361 indexed citations breakdown →

4.

Guttenplan, Kevin A., Benjamin K. Stafford, Rana N. El‐Danaf, et al.. (2020). Neurotoxic Reactive Astrocytes Drive Neuronal Death after Retinal Injury. Cell Reports. 31(12). 107776–107776. 154 indexed citations

5.

Guttenplan, Kevin A., Maya K. Weigel, Drew Adler, et al.. (2020). Knockout of reactive astrocyte activating factors slows disease progression in an ALS mouse model. Nature Communications. 11(1). 3753–3753. 187 indexed citations

6.

Weigel, Maya K., Lin Wang, & Meng‐meng Fu. (2020). Microtubule organization and dynamics in oligodendrocytes, astrocytes, and microglia. Developmental Neurobiology. 81(3). 310–320. 29 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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