Nishka Kishore

2.1k total citations · 1 hit paper
8 papers, 327 citations indexed

About

Nishka Kishore is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Nishka Kishore has authored 8 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Ecology. Recurrent topics in Nishka Kishore's work include Fungal and yeast genetics research (3 papers), Mitochondrial Function and Pathology (2 papers) and Bioinformatics and Genomic Networks (2 papers). Nishka Kishore is often cited by papers focused on Fungal and yeast genetics research (3 papers), Mitochondrial Function and Pathology (2 papers) and Bioinformatics and Genomic Networks (2 papers). Nishka Kishore collaborates with scholars based in Canada, United States and Australia. Nishka Kishore's co-authors include Kerstin Spirohn, I. Kovács, Yang Wang, Wenting Bian, Katja Luck, Marc Vidal, Albert-Ĺaszló Barabási, Michael A. Calderwood, Dae‐Kyum Kim and Tong Hao and has published in prestigious journals such as Nature Communications, Bioinformatics and The American Journal of Human Genetics.

In The Last Decade

Nishka Kishore

8 papers receiving 316 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.

Network-based prediction of protein interactions

2019 283 citations I. Kovács, Katja Luck et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nishka Kishore Canada	4	228	91	80	74	25	8	327
Evangelos Karatzas Greece	12	298 1.3×	35 0.4×	75 0.9×	30 0.4×	29 1.2×	29	475
Simona E. Rombo Italy	12	284 1.2×	58 0.6×	69 0.9×	108 1.5×	9 0.4×	38	381
Shahbaz Ali Pakistan	13	133 0.6×	26 0.3×	131 1.6×	19 0.3×	22 0.9×	47	445
Yihan Sun United States	10	145 0.6×	106 1.2×	44 0.6×	77 1.0×	11 0.4×	32	436
Bianka Kovács Hungary	5	349 1.5×	151 1.7×	38 0.5×	15 0.2×	41 1.6×	5	530
Jake P. Taylor‐King United Kingdom	8	148 0.6×	27 0.3×	80 1.0×	52 0.7×	4 0.2×	14	283
Ravishankar R. Vallabhajosyula United States	7	237 1.0×	43 0.5×	59 0.7×	23 0.3×	8 0.3×	9	321
Yuchi Qiu United States	12	264 1.2×	17 0.2×	134 1.7×	23 0.3×	19 0.8×	20	429
I-Chun Chou United States	8	538 2.4×	16 0.2×	34 0.4×	62 0.8×	80 3.2×	10	660
Zikai Wu China	9	258 1.1×	28 0.3×	154 1.9×	20 0.3×	20 0.8×	38	515

Countries citing papers authored by Nishka Kishore

Since Specialization

Citations

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

Fields of papers citing papers by Nishka Kishore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishka Kishore

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

8 of 8 papers shown

1.

Urbanus, Malene L., Dayag Sheykhkarimli, Atina G. Coté, et al.. (2024). A comprehensive two-hybrid analysis to explore the Legionella pneumophila effector–effector interactome. mSystems. 9(12). e0100424–e0100424. 3 indexed citations

2.

Weile, Jochen, Gabriel Boyle, Sriram Pendyala, et al.. (2024). Pacybara: accurate long-read sequencing for barcoded mutagenized allelic libraries. Bioinformatics. 40(4). 2 indexed citations

3.

Gebbia, Marinella, Jochen Weile, Roujia Li, et al.. (2024). A missense variant effect map for the human tumor-suppressor protein CHK2. The American Journal of Human Genetics. 111(12). 2675–2692. 4 indexed citations

4.

Kuang, Da, Jochen Weile, Nishka Kishore, et al.. (2021). MaveRegistry: a collaboration platform for multiplexed assays of variant effect. Bioinformatics. 37(19). 3382–3383. 16 indexed citations

5.

Kishore, Nishka, et al.. (2020). Characterization of Single Gene Deletion Mutants Affecting Alternative Oxidase Production in Neurospora crassa: Role of the yvh1 Gene. Microorganisms. 8(8). 1186–1186. 2 indexed citations

6.

Kovács, I., Katja Luck, Kerstin Spirohn, et al.. (2019). Network-based prediction of protein interactions. Nature Communications. 10(1). 1240–1240. 283 indexed citations breakdown →

7.

Gebbia, Marinella, Atina G. Coté, Jamie Snider, et al.. (2019). Highly Combinatorial Genetic Interaction Analysis Reveals a Multi-Drug Transporter Influence Network. Cell Systems. 10(1). 25–38.e10. 14 indexed citations

8.

Smith, Kristina, et al.. (2019). Involvement of a G Protein Regulatory Circuit in Alternative Oxidase Production inNeurospora crassa. G3 Genes Genomes Genetics. 9(10). 3453–3465. 3 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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