Frances Lefcort

2.5k citations
54 papers · 2.1k · h-index 27

Impact in

Papers in

Frances Lefcort

53 papers receiving 2.0k citations

Peers

Frances Lefcort
Comparison fields: 5 of 97
  • Developmental Neuroscience 484
  • Cellular and Molecular Neuroscience 1.4k
  • Cell Biology 460
  • Immunology and Allergy 100
  • Molecular Biology 990
Replace Horst H. Simon with:
Horst H. Simon Germany
Zaven Kaprielian United States
Elizabeth M. Muir United Kingdom
Patrice Maurel United States
Monte Gates United Kingdom
Takeshi Kawauchi Japan
Joseph M. Verdi United States
Catherine Krull United States
Ysander von Boxberg France
Jerry Silver United States
Frances Lefcort relative to Horst H. Simon Germany Horst H. Simon's profile →
Citations per field
00.5×1.5×
Horst H. Simon · 1×
Citations per year

Countries citing papers authored by Frances Lefcort

Since Specialization
Citations

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

Fields of papers citing papers by Frances Lefcort

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992165
2 1997164
3 1996140
4 2004115
5 1997102
6 201099
7 199793
8 200090
9 199688
10 199870
11 198963
12 201361
13 200455
14 201853
15 200644
16 198742
17 201538
18 200737
19 199736
20 201234

About Frances Lefcort

Frances Lefcort is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Developmental Neuroscience and Neurology, having authored 54 papers that have together received 2.1k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (18 papers), Hereditary Neurological Disorders (16 papers), Nerve injury and regeneration (13 papers), Neurogenesis and neuroplasticity mechanisms (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Developmental Biology and Gene Regulation (7 papers), Neurological diseases and metabolism (6 papers) and Signaling Pathways in Disease (6 papers). The work is most often cited by research in Developmental Neuroscience (484 citations), Cellular and Molecular Neuroscience (1.4k citations), Cell Biology (460 citations), Immunology and Allergy (100 citations) and Molecular Biology (990 citations). Frances Lefcort has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Louis F. Reichardt, Jennifer C. Kasemeier‐Kulesa, Paul M. Kulesa, Douglas O. Clary, Paul C. Letourneau, Gianluca Gallo, Lynn George, Marta Chaverra, Kristine Venstrom and John A. McDonald. Their work appears in journals such as Developmental Biology, Journal of Neuroscience, The Journal of Comparative Neurology, Nature Communications and Disease Models & Mechanisms.

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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