Lisa Mahanta

1.3k total citations
15 papers, 552 citations indexed

About

Lisa Mahanta is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Lisa Mahanta has authored 15 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 5 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Lisa Mahanta's work include Genomics and Rare Diseases (8 papers), Cancer Genomics and Diagnostics (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Lisa Mahanta is often cited by papers focused on Genomics and Rare Diseases (8 papers), Cancer Genomics and Diagnostics (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). Lisa Mahanta collaborates with scholars based in United States and Canada. Lisa Mahanta's co-authors include Heidi L. Rehm, Matthew S. Lebo, Mark Bowser, Birgit Funke, Elizabeth Hynes, Trevor J. Pugh, Sivakumar Gowrisankar, Bryan D. Harrison, Sami S. Amr and Samantha Baxter and has published in prestigious journals such as The American Journal of Human Genetics, Human Mutation and Genetics in Medicine.

In The Last Decade

Lisa Mahanta

15 papers receiving 544 citations

Peers

Lisa Mahanta
Comparison fields: 5 of 68
  • Molecular Biology 235
  • Cardiology and Cardiovascular Medicine 231
  • Genetics 195
  • Cancer Research 73
  • Sensory Systems 51
Replace Elizabeth Hynes with:
Elizabeth Hynes United States
Emily Spencer United States
Roberto Quadrelli United States
N. Weinberg Israel
Samantha Baxter United States
Chee‐Seng Ku Singapore
Rehab Ali Qatar
Dina Marek‐Yagel Israel
Amali Mallawaarachchi Australia
Sathya D. Unudurthi United States
Elizabeth Hynes United States View profile →
Citations per field, relative to Lisa Mahanta
Lisa Mahanta · 1×
Citations per year, relative to Lisa Mahanta
Lisa Mahanta · 1×

Countries citing papers authored by Lisa Mahanta

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Mahanta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Mahanta

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 1
2 26
3 11
4 7
5 32
6 10
7 26
8 10
9 5
10 17
11 55
12 28
13 33
14 46
15 245

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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