Elmer Guzman

2.5k citations
14 papers · 1.2k · 2 hit papers · h-index 12

Impact in

Papers in

Elmer Guzman

14 papers receiving 1.2k citations

Elmer Guzman's Hit Papers

Functional neuronal circuitry and oscillatory dynamics in human brain organoids 2022 · 138 citations
1380+2+4Years since publication100200300

Peers

Elmer Guzman
Comparison fields: 5 of 103
  • Neurology 203
  • Developmental Neuroscience 93
  • Physiology 386
  • Cellular and Molecular Neuroscience 239
  • Molecular Biology 650
Replace Guojun Ma with:
Guojun Ma China
Caroline G. Bergner Germany
Birger Victor Dieriks New Zealand
Felipe Baeza‐Lehnert Chile
Cyril Chéret Germany
Charles Arber United Kingdom
Alejandro San Martín Chile
Sigrun Nestel Germany
Kousuke Baba Japan
Keri E. Ramsey United States
Elmer Guzman relative to Guojun Ma China Guojun Ma's profile →
Citations per field
00.5×4.8×
Guojun Ma · 1×
Citations per year

Countries citing papers authored by Elmer Guzman

Since Specialization
Citations

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

Fields of papers citing papers by Elmer Guzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Elmer Guzman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Elmer Guzman Line = papers co-authored together Elmer Guzman links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
LRP1 is a master regulator of tau uptake and spread
Hit paper breakdown →
2020383
2 2017230
3
Functional neuronal circuitry and oscillatory dynamics in human brain organoids
Hit paper breakdown →
2022138
4 2017108
5 201980
6 201677
7 201460
8 201651
9 202225
10 201720
11 201318
12 201718
13 201411
14 20214

About Elmer Guzman

Elmer Guzman is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Physiology and Cancer Research, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (3 papers), Alzheimer's disease research and treatments (3 papers), MicroRNA in disease regulation (3 papers), Pluripotent Stem Cells Research (2 papers), Microtubule and mitosis dynamics (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), RNA Research and Splicing (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Neurology (203 citations), Developmental Neuroscience (93 citations), Physiology (386 citations), Cellular and Molecular Neuroscience (239 citations) and Molecular Biology (650 citations). Elmer Guzman has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Kenneth S. Kosik, Hongjun Zhou, Jennifer N. Rauch, Israel Hernández, Morgane Audouard, Gabriel Luna, Collin Challis, Martin Kampmann, Susanne Wegmann and Bradley T. Hyman. Their work appears in journals such as Nature Communications, Journal of Alzheimer s Disease, Cell Reports, Nature Neuroscience and Nature.

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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