Monica Kam

13 total papers · 1.1k total citations
8 papers, 849 citations indexed

About

Monica Kam is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Monica Kam has authored 8 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Developmental Neuroscience, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Monica Kam's work include Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Nerve injury and regeneration (2 papers). Monica Kam is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Nerve injury and regeneration (2 papers). Monica Kam collaborates with scholars based in New Zealand, United States and Sweden. Monica Kam's co-authors include Maurice A. Curtis, Richard L. M. Faull, Ulf Nannmark, Peter S. Eriksson, Carsten Wikkelsø, S. Holtås, Claes Nordborg, Michael Dragunow, Michelle F. Anderson and Willeke van Roon‐Mom and has published in prestigious journals such as Science, PLoS ONE and European Journal of Neuroscience.

In The Last Decade

Monica Kam

8 papers receiving 825 citations

Hit Papers

Human Neuroblasts Migrate... 2007 2026 2013 2019 2007 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Monica Kam 574 311 260 187 118 8 849
Barry Kirschenbaum 679 1.2× 582 1.9× 460 1.8× 175 0.9× 88 0.7× 8 1.0k
Marina Snapyan 429 0.7× 412 1.3× 445 1.7× 177 0.9× 44 0.4× 15 974
Bartley D. Mitchell 556 1.0× 384 1.2× 252 1.0× 180 1.0× 87 0.7× 23 993
Marie‐Claude Vinet 544 0.9× 353 1.1× 474 1.8× 139 0.7× 68 0.6× 8 1.0k
Morgane Lemasson 483 0.8× 342 1.1× 228 0.9× 233 1.2× 30 0.3× 19 928
Patrick J. Bernier 544 0.9× 341 1.1× 190 0.7× 161 0.9× 44 0.4× 9 759
Eva Chmielnicki 641 1.1× 507 1.6× 370 1.4× 188 1.0× 75 0.6× 13 973
Margarethe Ditter 448 0.8× 351 1.1× 278 1.1× 147 0.8× 45 0.4× 11 829
Sheila Rosenberg 412 0.7× 384 1.2× 301 1.2× 205 1.1× 30 0.3× 13 923
Tong Ma 427 0.7× 283 0.9× 413 1.6× 133 0.7× 48 0.4× 20 913

Countries citing papers authored by Monica Kam

Since Specialization
Citations

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

Fields of papers citing papers by Monica Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Kam

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

All Works

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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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