Sudip Sharma

1.3k total citations · 1 hit paper
10 papers, 277 citations indexed

About

Sudip Sharma is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Sudip Sharma has authored 10 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Sudip Sharma's work include Genomics and Phylogenetic Studies (6 papers), Genetic diversity and population structure (4 papers) and Chromosomal and Genetic Variations (2 papers). Sudip Sharma is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Genetic diversity and population structure (4 papers) and Chromosomal and Genetic Variations (2 papers). Sudip Sharma collaborates with scholars based in United States, Saudi Arabia and Japan. Sudip Sharma's co-authors include Sudhir Kumar, Maxwell Sanderford, Koichiro Tamura, Glen Stecher, Michael Suleski, Sayaka Miura, Steven Weaver, Sergei L. Kosakovsky Pond, Qiqing Tao and Jose Barba‐Montoya and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Molecular Biology and Evolution.

In The Last Decade

Sudip Sharma

8 papers receiving 270 citations

Hit Papers

MEGA12: Molecular Evolutionary Genetic Analysis Version 1... 2024 2026 2025 2024 50 100 150
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing
    2024 196 citations Sudhir Kumar, Glen Stecher et al. Molecular Biology and Evolution profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sudip Sharma United States 5 102 64 54 50 36 10 277
Takashi Baba Japan 9 113 1.1× 108 1.7× 36 0.7× 50 1.0× 94 2.6× 36 339
Linda Yankie United States 5 116 1.1× 26 0.4× 44 0.8× 22 0.4× 47 1.3× 6 201
Muhammad Ahsan Naeem Pakistan 9 157 1.5× 32 0.5× 44 0.8× 41 0.8× 14 0.4× 26 271
Amy Bush United States 4 131 1.3× 168 2.6× 36 0.7× 84 1.7× 50 1.4× 9 339
Jinge Ma China 9 185 1.8× 21 0.3× 39 0.7× 53 1.1× 31 0.9× 19 343
Yang Fu-he China 9 135 1.3× 32 0.5× 42 0.8× 81 1.6× 45 1.3× 27 265
Andrea M. Makkay United States 12 198 1.9× 76 1.2× 34 0.6× 46 0.9× 141 3.9× 17 343
Claire Kuchly France 8 241 2.4× 91 1.4× 22 0.4× 65 1.3× 42 1.2× 13 368
Chinmoy Mishra India 10 61 0.6× 27 0.4× 29 0.5× 93 1.9× 20 0.6× 77 327
S Garland Australia 7 51 0.5× 133 2.1× 22 0.4× 61 1.2× 15 0.4× 14 329

Countries citing papers authored by Sudip Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Sudip Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sudip Sharma

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

All Works

10 of 10 papers shown
1.
Allard, John B., Sudip Sharma, Maxwell Sanderford, et al.. (2025). Evolutionary sparse learning reveals the shared genetic basis of convergent traits. Nature Communications. 16(1). 3217–3217. 2 indexed citations
2.
Sanderford, Maxwell, Sudip Sharma, Glen Stecher, et al.. (2025). MyESL: A Software for Evolutionary Sparse Learning in Molecular Phylogenetics and Genomics. Molecular Biology and Evolution. 42(10).
3.
Sharma, Sudip & Sudhir Kumar. (2024). Discovering Fragile Clades and Causal Sequences in Phylogenomics by Evolutionary Sparse Learning. Molecular Biology and Evolution. 41(7). 5 indexed citations
4.
Kumar, Sudhir, Glen Stecher, Michael Suleski, et al.. (2024). MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing. Molecular Biology and Evolution. 41(12). 196 indexed citations breakdown →
5.
Barba‐Montoya, Jose, Sudip Sharma, & Sudhir Kumar. (2023). Molecular timetrees using relaxed clocks and uncertain phylogenies. SHILAP Revista de lepidopterología. 3. 1225807–1225807. 2 indexed citations
6.
Craig, Jack M., et al.. (2023). Methods for Estimating Personal Disease Risk and Phylogenetic Diversity of Hematopoietic Stem Cells. Molecular Biology and Evolution. 41(1).
7.
Sharma, Sudip & Sudhir Kumar. (2022). Taming the Selection of Optimal Substitution Models in Phylogenomics by Site Subsampling and Upsampling. Molecular Biology and Evolution. 39(11). 1 indexed citations
8.
Kumar, Sudhir & Sudip Sharma. (2021). Evolutionary Sparse Learning for Phylogenomics. Molecular Biology and Evolution. 38(11). 4674–4682. 14 indexed citations
9.
Kumar, Sudhir, Qiqing Tao, Steven Weaver, et al.. (2021). An Evolutionary Portrait of the Progenitor SARS-CoV-2 and Its Dominant Offshoots in COVID-19 Pandemic. Molecular Biology and Evolution. 38(8). 3046–3059. 41 indexed citations
10.
Sharma, Sudip & Sudhir Kumar. (2021). Fast and accurate bootstrap confidence limits on genome-scale phylogenies using little bootstraps. Nature Computational Science. 1(9). 573–577. 16 indexed citations

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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