Lara Sucheston

4.1k citations
22 papers · 502 indexed · h-index 17
Topics
Genetic Associations and Epidemiology (9 papers)Gene expression and cancer classification (6 papers)Bioinformatics and Genomic Networks (5 papers)

In The Last Decade

Lara Sucheston

21 papers receiving 495 citations

Peers

Lara Sucheston
Comparison fields: 5 of 91
  • Molecular Biology 214
  • Genetics 145
  • Oncology 131
  • Cancer Research 51
  • Otorhinolaryngology 48
Replace Ismael D.C.G. Silva with:
Ismael D.C.G. Silva Brazil
Vijayalakshmi Ananthanarayanan United States
Agnès Hardouin France
Martin N. Fransson Sweden
Zhichao Wang China
Jennyfer M. Garcí­a-Cárdenas Ecuador
Hiroshi Kumimoto Japan
Jenny Gross United States
Samsiddhi Bhattacharjee India
Ye Cao China
Lara Sucheston relative to Ismael D.C.G. Silva Brazil Ismael D.C.G. Silva's profile →
Citations per field
00.5×3.8×
Ismael D.C.G. Silva · 1×
Citations per year

Countries citing papers authored by Lara Sucheston

Since Specialization
Citations

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

Fields of papers citing papers by Lara Sucheston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lara Sucheston

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 23
2 21
3 16
4 30
5 17
6 51
7 1
8 22
9 7
10 25
11 18
12 25
13
Genetic polymorphisms of ATP-binding cassette (ABC) proteins, overall survival and drug toxicity in patients with Acute Myeloid Leukemia.
34
14 30
15 39
16 21
17 7
18 6
19 23
20 51

About Lara Sucheston

Lara Sucheston is a scholar working on Genetics, Otorhinolaryngology and Molecular Biology, having authored 22 papers that have together received 502 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Gene expression and cancer classification (6 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Otorhinolaryngology (48 citations), Genetics (145 citations) and Oncology (131 citations). Lara Sucheston has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Pritam Chanda, Murali Ramanathan, Aidong Zhang, Christine B. Ambrosone, Jo L. Freudenheim, Daniel A. Brazeau, Song Liu, Gary Zirpoli, Michael Rontal and Prashant K. Singh. Their work appears in journals such as Blood, PLoS ONE and Cancer Research.

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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