Indraniel Das

21 total papers · 1.5k total citations
3 papers, 230 citations indexed

About

Indraniel Das is a scholar working on Genetics, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Indraniel Das has authored 3 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Genetics, 2 papers in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Indraniel Das's work include Genomic variations and chromosomal abnormalities (3 papers), Genomics and Rare Diseases (2 papers) and Genomics and Phylogenetic Studies (2 papers). Indraniel Das is often cited by papers focused on Genomic variations and chromosomal abnormalities (3 papers), Genomics and Rare Diseases (2 papers) and Genomics and Phylogenetic Studies (2 papers). Indraniel Das collaborates with scholars based in United States, Sweden and Denmark. Indraniel Das's co-authors include David E. Larson, Ira M. Hall, Ryan M. Layer, Haley Abel, Colby Chiang, Krishna Kanchi, Susan K. Dutcher, Allison Regier, Tara C. Matise and William Salerno and has published in prestigious journals such as Nature, Bioinformatics and Työväentutkimus Vuosikirja.

In The Last Decade

Indraniel Das

3 papers receiving 230 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Indraniel Das	174	121	37	31	23	3	230
Christopher I. Amos	200 1.1×	111 0.9×	28 0.8×	15 0.5×	14 0.6×	3	328
K. Kubzdela	93 0.5×	112 0.9×	23 0.6×	17 0.5×	9 0.4×	2	198
R.C. Elston	185 1.1×	73 0.6×	41 1.1×	9 0.3×	13 0.6×	4	321
Monica B. Proud	172 1.0×	122 1.0×	11 0.3×	20 0.6×	73 3.2×	4	246
Małgorzata Borkowska	88 0.5×	257 2.1×	18 0.5×	13 0.4×	11 0.5×	6	310
Carolyn Dunn	240 1.4×	134 1.1×	70 1.9×	13 0.4×	8 0.3×	3	304
John Garner	140 0.8×	207 1.7×	19 0.5×	46 1.5×	5 0.2×	3	297
Chelsea Lowther	245 1.4×	192 1.6×	17 0.5×	10 0.3×	45 2.0×	8	329
J. N. Hirschhorn	189 1.1×	126 1.0×	19 0.5×	21 0.7×	6 0.3×	4	283
Diane Hu‐Lince	144 0.8×	143 1.2×	13 0.4×	12 0.4×	24 1.0×	7	253

Countries citing papers authored by Indraniel Das

Since Specialization

Citations

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

Fields of papers citing papers by Indraniel Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indraniel Das

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

All Works

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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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