Shriya Raj

26.1k total citations · 1 hit paper
8 papers, 4.0k citations indexed

About

Shriya Raj is a scholar working on Molecular Biology, Infectious Diseases and Plant Science. According to data from OpenAlex, Shriya Raj has authored 8 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Plant Science. Recurrent topics in Shriya Raj's work include Fungal and yeast genetics research (4 papers), Antifungal resistance and susceptibility (3 papers) and Genomics and Phylogenetic Studies (2 papers). Shriya Raj is often cited by papers focused on Fungal and yeast genetics research (4 papers), Antifungal resistance and susceptibility (3 papers) and Genomics and Phylogenetic Studies (2 papers). Shriya Raj collaborates with scholars based in United States, France and United Kingdom. Shriya Raj's co-authors include ROBERT FINN, Gustavo A Salazar, Lorna Richardson, Lisanna Paladin, Sara Chuguransky, Alex Bateman, Silvio C. E. Tosatto, Matloob Qureshi, Jaina Mistry and Erik L. L. Sonnhammer and has published in prestigious journals such as Nucleic Acids Research, Journal of Molecular Biology and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Shriya Raj

8 papers receiving 4.0k 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.

Pfam: The protein families database in 2021

2020 3.8k citations Jaina Mistry, Sara Chuguransky et al. Nucleic Acids Research profile →

Peers

Shriya Raj

MB

PS

ECOLO

GENET

ID

Walter Pirovano Netherlands

Valentin Guignon France

Fu Lu United States

Songgang Li China

Aurélien Luciani United Kingdom

Damiano Piovesan Italy

Aaron A. Klammer United States

Sara Chuguransky Argentina

David I. Hurwitz United States

Chris Boursnell United Kingdom

Walter Pirovano Netherlands

Shriya Raj

2.2k ×0.8

MB

1.1k ×0.8

PS

813 ×1.4

ECOLO

495 ×1.2

GENET

205 ×0.8

ID

Citations per year, relative to Shriya Raj Shriya Raj (= 1×) peers Walter Pirovano

Countries citing papers authored by Shriya Raj

Since Specialization

Citations

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

Fields of papers citing papers by Shriya Raj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shriya Raj

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

All Works

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8 of 8 papers shown

1.

Gurbich, Tatiana A, Alexandre Almeida, Martín Beracochea, et al.. (2023). MGnify Genomes: A Resource for Biome-specific Microbial Genome Catalogues. Journal of Molecular Biology. 435(14). 168016–168016. 32 indexed citations

2.

Liu, Zhonghua, Shriya Raj, Norman van Rhijn, et al.. (2021). Functional Genomic and Biochemical Analysis Reveals Pleiotropic Effect of Congo Red on Aspergillus fumigatus. mBio. 12(3). 28 indexed citations

3.

Mistry, Jaina, Sara Chuguransky, Matloob Qureshi, et al.. (2020). Pfam: The protein families database in 2021. Nucleic Acids Research. 49(D1). D412–D419. 3780 indexed citations breakdown →

4.

Raj, Shriya, Jihyun Kim, Luna S. Joffe, et al.. (2017). Changes in glucosylceramide structure affect virulence and membrane biophysical properties of Cryptococcus neoformans. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1859(11). 2224–2233. 34 indexed citations

5.

Raj, Shriya, Karthik Krishnan, David S. Askew, et al.. (2015). The Toxicity of a Novel Antifungal Compound Is Modulated by Endoplasmic Reticulum-Associated Protein Degradation Components. Antimicrobial Agents and Chemotherapy. 60(3). 1438–1449. 6 indexed citations

6.

Valsecchi, Isabel, Emilia Mellado, Rémi Beau, Shriya Raj, & Jean‐Paul Latgé. (2015). Fitness Studies of Azole-Resistant Strains of Aspergillus fumigatus. Antimicrobial Agents and Chemotherapy. 59(12). 7866–7869. 27 indexed citations

7.

Healey, Kelley R., Säntosh K. Katiyar, Shriya Raj, & Thomas D. Edlind. (2012). CRS–MIS in Candida glabrata: sphingolipids modulate echinocandin–Fks interaction. Molecular Microbiology. 86(2). 303–313. 61 indexed citations

8.

Edlind, Thomas D., et al.. (2005). Promoter-dependent disruption of genes: simple, rapid, and specific PCR-based method with application to three different yeast. Current Genetics. 48(2). 117–125. 31 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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