Geet Duggal

13.7k total citations · 1 hit paper
9 papers, 6.9k citations indexed

About

Geet Duggal is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Geet Duggal has authored 9 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Plant Science. Recurrent topics in Geet Duggal's work include Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (4 papers) and Gene expression and cancer classification (3 papers). Geet Duggal is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), RNA Research and Splicing (4 papers) and Gene expression and cancer classification (3 papers). Geet Duggal collaborates with scholars based in United States. Geet Duggal's co-authors include Carl Kingsford, Rob Patro, Michael I. Love, Rafael A. Irizarry, Darya Filippova, Hao Wang, Emre Sefer, Hao Wang, Michelle Girvan and Yuan Li and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Nature Methods.

In The Last Decade

Geet Duggal

8 papers receiving 6.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Salmon provides fast and bias-aware quantification of transcript expression

2017 6.7k citations Rob Patro, Geet Duggal et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Geet Duggal United States	8	4.1k	1.2k	825	756	696	9	6.9k
Rob Patro United States	23	5.7k 1.4×	1.4k 1.2×	1.0k 1.2×	1.1k 1.4×	890 1.3×	62	9.2k
Philip Ewels Sweden	12	3.3k 0.8×	855 0.7×	524 0.6×	563 0.7×	860 1.2×	20	5.9k
Fran Supek Spain	28	4.5k 1.1×	1.2k 1.0×	480 0.6×	1.1k 1.4×	1.2k 1.7×	57	7.3k
Matthew D. Young United States	26	4.6k 1.1×	2.1k 1.8×	949 1.2×	1.3k 1.7×	918 1.3×	57	8.8k
Jian Ye China	15	3.3k 0.8×	1.0k 0.9×	833 1.0×	379 0.5×	826 1.2×	37	6.6k
Xiaosong Huang United States	15	4.3k 1.1×	765 0.7×	579 0.7×	677 0.9×	881 1.3×	34	6.7k
Ting‐Fung Chan Hong Kong	41	3.3k 0.8×	947 0.8×	460 0.6×	906 1.2×	657 0.9×	189	5.7k
Christopher Bennett United States	3	4.7k 1.2×	2.6k 2.2×	756 0.9×	818 1.1×	1.1k 1.6×	3	8.1k
Yijun Ruan United States	43	6.4k 1.6×	1.7k 1.5×	610 0.7×	1.1k 1.4×	1.3k 1.8×	106	9.0k
Joseph M. Paggi United States	13	5.5k 1.4×	2.6k 2.2×	768 0.9×	802 1.1×	1.1k 1.6×	17	9.1k

Countries citing papers authored by Geet Duggal

Since Specialization

Citations

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

Fields of papers citing papers by Geet Duggal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geet Duggal

This figure shows the co-authorship network connecting the top 25 collaborators of Geet Duggal. A scholar is included among the top collaborators of Geet Duggal 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 Geet Duggal. Geet Duggal 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:

9 of 9 papers shown

1.

Patro, Rob, Geet Duggal, Michael I. Love, Rafael A. Irizarry, & Carl Kingsford. (2017). Salmon provides fast and bias-aware quantification of transcript expression. Nature Methods. 14(4). 417–419. 6662 indexed citations breakdown →

2.

Sefer, Emre, Geet Duggal, & Carl Kingsford. (2016). Deconvolution of Ensemble Chromatin Interaction Data Reveals the Latent Mixing Structures in Cell Subpopulations. Journal of Computational Biology. 23(6). 425–438. 15 indexed citations

3.

Filippova, Darya, Rob Patro, Geet Duggal, & Carl Kingsford. (2014). Identification of alternative topological domains in chromatin. Algorithms for Molecular Biology. 9(1). 14–14. 142 indexed citations

4.

Duggal, Geet, Hao Wang, & Carl Kingsford. (2013). Higher-order chromatin domains link eQTLs with the expression of far-away genes. Nucleic Acids Research. 42(1). 87–96. 33 indexed citations

5.

Duggal, Geet, Rob Patro, Emre Sefer, et al.. (2013). Resolving spatial inconsistencies in chromosome conformation measurements. Algorithms for Molecular Biology. 8(1). 8–8. 11 indexed citations

6.

Wang, Hao, Geet Duggal, Rob Patro, et al.. (2013). Topological properties of chromosome conformation graphs reflect spatial proximities within chromatin. 306–315. 7 indexed citations

7.

Duggal, Geet & Carl Kingsford. (2012). Graph rigidity reveals well-constrained regions of chromosome conformation embeddings. BMC Bioinformatics. 13(1). 241–241.

8.

Duggal, Geet, et al.. (2012). The missing models. 42–50. 7 indexed citations

9.

Ku, Wai Lim, Geet Duggal, Yuan Li, Michelle Girvan, & Edward Ott. (2012). Interpreting Patterns of Gene Expression: Signatures of Coregulation, the Data Processing Inequality, and Triplet Motifs. PLoS ONE. 7(2). e31969–e31969. 8 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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