Lisa M. Vincent

2.2k total citations
19 papers, 659 citations indexed

About

Lisa M. Vincent is a scholar working on Genetics, Molecular Biology and Genetics. According to data from OpenAlex, Lisa M. Vincent has authored 19 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Lisa M. Vincent's work include Genomics and Rare Diseases (5 papers), Protein Tyrosine Phosphatases (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Lisa M. Vincent is often cited by papers focused on Genomics and Rare Diseases (5 papers), Protein Tyrosine Phosphatases (4 papers) and Genomic variations and chromosomal abnormalities (3 papers). Lisa M. Vincent collaborates with scholars based in United States, Germany and France. Lisa M. Vincent's co-authors include Heidi L. Rehm, Soma Das, Elizabeth Chao, Sherri J. Bale, Lora Jh Bean, Dianna M. Milewicz, Sinh Tran, Tracy A Bensend, Björn Dahlbäck and Tina Pesaran and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The American Journal of Human Genetics.

In The Last Decade

Lisa M. Vincent

18 papers receiving 651 citations

Peers

Lisa M. Vincent
Comparison fields: 5 of 75
  • Genetics 318
  • Molecular Biology 239
  • Cancer Research 114
  • Hematology 111
  • Immunology 71
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Rosa Artells Spain
Alona Merkulova United States
Marloes R. Tijssen United Kingdom
Daniël Olde Weghuis Netherlands
Rodney Staggs United States
Tatyana Ponomaryov United Kingdom
Nicola Cahill Sweden
Jacqueline R. Batanian United States
Claudia Cappuzzello Italy
GS Firestein United States
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Citations per field, relative to Lisa M. Vincent
Lisa M. Vincent · 1×
Citations per year, relative to Lisa M. Vincent
Lisa M. Vincent · 1×

Countries citing papers authored by Lisa M. Vincent

Since Specialization
Citations

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

Fields of papers citing papers by Lisa M. Vincent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa M. Vincent

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 75
5 2
6 88
7 3
8 16
9 90
10 61
11 1
12 145
13 35
14 103
15 1
16 11
17 15
18 9
19 1

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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