Ben Martynoga

3.6k citations
21 papers · 2.6k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Ben Martynoga

21 papers receiving 2.5k citations

Hit Papers

Hierarchical Mechanisms for Direct Reprogramming of Fibroblasts to Neurons 2013 · 470 citations
4702013202620172021100200300400

Peers

Ben Martynoga
Comparison fields: 5 of 92
  • Developmental Neuroscience 901
  • Aging 73
  • Molecular Biology 2.1k
  • Cellular and Molecular Neuroscience 434
  • Cancer Research 348
Replace Jessica Mariani with:
Jessica Mariani United States
Austin Ostermeier United States
Marta Florio Germany
Gonzalo Álvarez‐Bolado Germany
Nicolas Bertrand France
Brian G. Condie United States
Noelia Urbán United Kingdom
Angeliki Louvi United States
Thomas Vierbuchen United States
Siew-Lan Ang France
Ben Martynoga relative to Jessica Mariani United States Jessica Mariani's profile →
Citations per field
00.5×1.7×
Jessica Mariani · 1×
Citations per year

Countries citing papers authored by Ben Martynoga

Since Specialization
Citations

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

Fields of papers citing papers by Ben Martynoga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ben Martynoga, 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 Ben Martynoga Line = papers co-authored together Ben Martynoga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201924
2 201644
3 201519
4 201544
5 201433
6 201447
7 2014168
8 2013119
9
Hierarchical Mechanisms for Direct Reprogramming of Fibroblasts to Neurons
Hit paper breakdown →
2013470
10 201311
11 2013160
12 2012129
13 2011310
14 201148
15 201024
16 201066
17 2008239
18 200789
19 2006187
20 2005315

About Ben Martynoga

Ben Martynoga is a scholar working on Developmental Neuroscience, Aging, Cancer Research, Molecular Biology and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (11 papers), Pluripotent Stem Cells Research (8 papers), MicroRNA in disease regulation (6 papers), RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers), Hedgehog Signaling Pathway Studies (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Developmental Neuroscience (901 citations), Aging (73 citations), Molecular Biology (2.1k citations), Cellular and Molecular Neuroscience (434 citations) and Cancer Research (348 citations). Ben Martynoga has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include David J. Price, John O. Mason, François Guillemot, Daniela Drechsel, Harris Morrison, Diogo S. Castro, Noelia Urbán, John D. West, Marius Wernig and Thomas Vierbuchen. Their work appears in journals such as Developmental Biology, Genes & Development, Cerebral Cortex, Development and Neuron.

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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