Parul Kudtarkar

1.2k total citations
9 papers, 338 citations indexed

About

Parul Kudtarkar is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Parul Kudtarkar has authored 9 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Genetics. Recurrent topics in Parul Kudtarkar's work include Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (3 papers) and Single-cell and spatial transcriptomics (3 papers). Parul Kudtarkar is often cited by papers focused on Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (3 papers) and Single-cell and spatial transcriptomics (3 papers). Parul Kudtarkar collaborates with scholars based in United States. Parul Kudtarkar's co-authors include R. Andrew Cameron, Peter J. Tonellato, Dennis P. Wall, Vincent A. Fusaro, Prasad Patil, Rimma Pivovarov, Kyle J. Gaulton, Vincent A. Fusaro, Mei-Lin Okino and Todd F. DeLuca and has published in prestigious journals such as Nature Genetics, The EMBO Journal and Diabetes.

In The Last Decade

Parul Kudtarkar

9 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Parul Kudtarkar United States	6	179	92	76	41	37	9	338
Gernot Stocker Austria	9	369 2.1×	60 0.7×	45 0.6×	30 0.7×	11 0.3×	14	496
Simon White United States	9	292 1.6×	185 2.0×	17 0.2×	10 0.2×	7 0.2×	13	479
Mesude Bicak United States	9	134 0.7×	31 0.3×	6 0.1×	63 1.5×	3 0.1×	18	325
Catherine Snow United Kingdom	3	411 2.3×	53 0.6×	24 0.3×	17 0.4×	7 0.2×	3	544
Petri Klemelä Finland	2	236 1.3×	30 0.3×	8 0.1×	48 1.2×	6 0.2×	3	344
Chih Lee United States	9	241 1.3×	114 1.2×	17 0.2×	7 0.2×	6 0.2×	17	384
Niran Abeygunawardena United Kingdom	5	552 3.1×	65 0.7×	17 0.2×	20 0.5×	7 0.2×	5	657
Byoung-Ha Yoon South Korea	10	335 1.9×	58 0.6×	18 0.2×	2 0.0×	4 0.1×	18	503
Taavi Hupponen Finland	4	212 1.2×	21 0.2×	8 0.1×	50 1.2×	6 0.2×	5	315
Andrew E. Bruno United States	11	260 1.5×	33 0.4×	10 0.1×	17 0.4×	5 0.1×	21	407

Countries citing papers authored by Parul Kudtarkar

Since Specialization

Citations

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

Fields of papers citing papers by Parul Kudtarkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Parul Kudtarkar

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

All Works

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9 of 9 papers shown

1.

Qadir, Mirza Muhammad Fahd, Kejing Song, Parul Kudtarkar, et al.. (2024). Sex-specific regulatory architecture of pancreatic islets from subjects with and without type 2 diabetes. The EMBO Journal. 43(24). 6364–6382. 5 indexed citations

2.

Kudtarkar, Parul, Maria C. Costanzo, Ying Sun, et al.. (2023). Leveraging type 1 diabetes human genetic and genomic data in the T1D knowledge portal. PLoS Biology. 21(8). e3002233–e3002233. 4 indexed citations

3.

Kudtarkar, Parul, et al.. (2023). An Integrated Map of Cell Type–Specific Gene Expression in Pancreatic Islets. Diabetes. 72(11). 1719–1728. 34 indexed citations

4.

Chiou, Joshua, Chun Zeng, Cheng Zhang, et al.. (2021). Single-cell chromatin accessibility identifies pancreatic islet cell type– and state-specific regulatory programs of diabetes risk. Nature Genetics. 53(4). 455–466. 89 indexed citations

5.

Wang, Lijun, Kari Koppitch, Ann E. Cutting, et al.. (2018). Developmental effector gene regulation: Multiplexed strategies for functional analysis. Developmental Biology. 445(1). 68–79. 5 indexed citations

6.

Kudtarkar, Parul & R. Andrew Cameron. (2017). Echinobase: an expanding resource for echinoderm genomic information. Database. 2017. 56 indexed citations

7.

Cameron, R. Andrew, Parul Kudtarkar, Susan M. Gordon, Kim C. Worley, & Richard A. Gibbs. (2015). Do echinoderm genomes measure up?. Marine Genomics. 22. 1–9. 20 indexed citations

8.

Wall, Dennis P., Parul Kudtarkar, Vincent A. Fusaro, et al.. (2010). Cloud computing for comparative genomics. BMC Bioinformatics. 11(1). 259–259. 81 indexed citations

9.

Kudtarkar, Parul, Todd F. DeLuca, Vincent A. Fusaro, Peter J. Tonellato, & Dennis P. Wall. (2010). Cost-Effective Cloud Computing: A Case Study Using the Comparative Genomics Tool, Roundup. Evolutionary Bioinformatics. 6. 197–203. 44 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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