Ipsita Agarwal

639 total citations · 1 hit paper
6 papers, 303 citations indexed

About

Ipsita Agarwal is a scholar working on Genetics, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Ipsita Agarwal has authored 6 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Molecular Biology and 1 paper in Clinical Psychology. Recurrent topics in Ipsita Agarwal's work include Genetic Associations and Epidemiology (2 papers), Evolution and Genetic Dynamics (2 papers) and COVID-19 and Mental Health (1 paper). Ipsita Agarwal is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Evolution and Genetic Dynamics (2 papers) and COVID-19 and Mental Health (1 paper). Ipsita Agarwal collaborates with scholars based in United States and United Kingdom. Ipsita Agarwal's co-authors include Molly Przeworski, Jonathan K. Pritchard, Dalton Conley, Arbel Harpak, Hakhamanesh Mostafavi, Zachary L. Fuller, Simon Myers, Michael B. Eisen, Guy Sella and William Milligan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Genetics.

In The Last Decade

Ipsita Agarwal

6 papers receiving 301 citations

Hit Papers

align trajectories

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.

Variable prediction accuracy of polygenic scores within an ancestry group

2020 225 citations Hakhamanesh Mostafavi, Arbel Harpak et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ipsita Agarwal United States	5	209	68	27	22	21	6	303
Daphne Oluwaseun Martschenko United States	9	102 0.5×	43 0.6×	32 1.2×	31 1.4×	31 1.5×	33	233
Mashaal Sohail United States	7	346 1.7×	132 1.9×	21 0.8×	16 0.7×	8 0.4×	14	453
Andres Metspalu Estonia	6	159 0.8×	60 0.9×	24 0.9×	14 0.6×	4 0.2×	8	316
Amir R. Kermany United States	5	108 0.5×	82 1.2×	23 0.9×	4 0.2×	11 0.5×	9	254
Casey T. Finnicum United States	7	49 0.2×	50 0.7×	14 0.5×	8 0.4×	5 0.2×	13	147
Kristin A. Rand United States	4	99 0.5×	80 1.2×	23 0.9×	3 0.1×	7 0.3×	4	261
Annique Claringbould Netherlands	11	129 0.6×	249 3.7×	14 0.5×	12 0.5×	11 0.5×	20	454
Amanda Koire United States	11	106 0.5×	146 2.1×	33 1.2×	13 0.6×	33 1.6×	32	465
Jiacheng Miao United States	7	74 0.4×	68 1.0×	38 1.4×	7 0.3×	25 1.2×	13	164
Ainash Childebayeva United States	8	120 0.6×	87 1.3×	42 1.6×	3 0.1×	17 0.8×	15	250

Countries citing papers authored by Ipsita Agarwal

Since Specialization

Citations

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

Fields of papers citing papers by Ipsita Agarwal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ipsita Agarwal

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Agarwal, Ipsita, Zachary L. Fuller, Simon Myers, & Molly Przeworski. (2023). Relating pathogenic loss-of-function mutations in humans to their evolutionary fitness costs. eLife. 12. 18 indexed citations

2.

Milligan, William, Zachary L. Fuller, Ipsita Agarwal, et al.. (2021). Impact of essential workers in the context of social distancing for epidemic control. PLoS ONE. 16(8). e0255680–e0255680. 17 indexed citations

3.

Mostafavi, Hakhamanesh, Arbel Harpak, Ipsita Agarwal, et al.. (2020). Variable prediction accuracy of polygenic scores within an ancestry group. eLife. 9. 225 indexed citations breakdown →

4.

Agarwal, Ipsita & Molly Przeworski. (2019). Signatures of replication timing, recombination, and sex in the spectrum of rare variants on the human X chromosome and autosomes. Proceedings of the National Academy of Sciences. 116(36). 17916–17924. 26 indexed citations

5.

Agarwal, Ipsita, et al.. (2017). 2-Way k -Means as a Model for Microbiome Samples. Journal of Healthcare Engineering. 2017. 1–7. 1 indexed citations

6.

Agarwal, Ipsita, et al.. (2017). HOP-1 Presenilin Deficiency Causes a Late-Onset Notch Signaling Phenotype That Affects Adult Germline Function in Caenorhabditis elegans. Genetics. 208(2). 745–762. 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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