James M. Weimann

3.3k citations
16 papers · 2.4k indexed · 1 hit paper · h-index 15
Topics
Pluripotent Stem Cells Research (4 papers)Neurobiology and Insect Physiology Research (4 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)

In The Last Decade

James M. Weimann

16 papers receiving 2.4k citations

Hit Papers

The Evolving Concept of a Stem Cell20012026200920172001250500750

Peers

James M. Weimann
Comparison fields: 5 of 109
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 751
  • Genetics 715
  • Developmental Neuroscience 466
  • Surgery 403
Replace Donna M. Martin with:
Donna M. Martin United States
Georgia Panagiotakos United States
Igor Adameyko Sweden
Jonathan Dinsmore United States
Alar Karis Estonia
Giorgio Corte Italy
Andrew J. Furley United Kingdom
Douglas J. Epstein United States
Ariel J. Levine United States
Brian G. Condie United States
James M. Weimann relative to Donna M. Martin United States Donna M. Martin's profile →
Citations per field
00.5×1.5×2.5×
Donna M. Martin · 1×
Citations per year

Countries citing papers authored by James M. Weimann

Since Specialization
Citations

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

Fields of papers citing papers by James M. Weimann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James M. Weimann

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 14
2 36
3 28
4 67
5 18
6 32
7 352
8 328
9
The Evolving Concept of a Stem Cellbreakdown →
769
10
The Evolving Concept Review of a Stem Cell: Entity or Function?
4
11 150
12 111
13 86
14 111
15 106
16 199

About James M. Weimann

James M. Weimann is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 16 papers that have together received 2.4k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Neurobiology and Insect Physiology Research (4 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Developmental Neuroscience (466 citations), Genetics (715 citations) and Cellular and Molecular Neuroscience (751 citations). James M. Weimann has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Helen M. Blau, Tim Brazelton, Eve Marder, Angelica Trejo, Clas B. Johansson, Pierre Meyrand, Robert C. Hackman, Timothy R. Brazelton, Carol Charlton and Susan K. McConnell. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences 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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