Constance M. Smith

2.5k citations
25 papers · 1.4k · h-index 15

Impact in

Papers in

Constance M. Smith

21 papers receiving 1.3k citations

Peers

Constance M. Smith
Comparison fields: 5 of 117
  • Developmental Neuroscience 274
  • Ecology, Evolution, Behavior and Systematics 438
  • Developmental Biology 29
  • Cellular and Molecular Neuroscience 198
  • Neurology 82
Replace Isabelle Anglade with:
Isabelle Anglade France
Alexander A. Tinnikov Russia
Colette Vaillant France
Livia D’Angelo Italy
Rakesh K. Rastogi Italy
Yann Le Page France
Thomas O. Auer Switzerland
Joshua T. Gamse United States
Antonella Peruffo Italy
Olivier Kah France
Constance M. Smith relative to Isabelle Anglade France Isabelle Anglade's profile →
Citations per field
00.5×2.5×
Isabelle Anglade · 1×
Citations per year

Countries citing papers authored by Constance M. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Constance M. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995298
2 1995238
3 2000143
4 199883
5 202081
6 201879
7 200669
8 198767
9 201367
10 201066
11 199257
12 199443
13 199823
14 199622
15 201519
16 199612
17 201412
18 201511
19 20214
20 20203

About Constance M. Smith

Constance M. Smith is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Plant Science, Cellular and Molecular Neuroscience and Cancer Research, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene expression and cancer classification (8 papers), Bioinformatics and Genomic Networks (7 papers), Single-cell and spatial transcriptomics (4 papers), Animal Behavior and Reproduction (3 papers), Neurobiology and Insect Physiology Research (3 papers), Biomedical Text Mining and Ontologies (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Developmental Neuroscience (274 citations), Ecology, Evolution, Behavior and Systematics (438 citations), Developmental Biology (29 citations), Cellular and Molecular Neuroscience (198 citations) and Neurology (82 citations). Constance M. Smith has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include David B. Lank, Marla B. Luskin, Kasey C. Nelson, Olivier Hanotte, Terry Burke, João R.L. Menezes, Fred Cooke, M. L. Gullino, Pierre Leroux and Martin Ringwald. Their work appears in journals such as Nucleic Acids Research, Development, Mammalian Genome, Behavioral Ecology and Sociobiology and Developmental Dynamics.

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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