Nitika Mukhi

486 total citations
10 papers, 279 citations indexed

About

Nitika Mukhi is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Nitika Mukhi has authored 10 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Nitika Mukhi's work include Plant-Microbe Interactions and Immunity (4 papers), Hemoglobin structure and function (4 papers) and Plant Pathogenic Bacteria Studies (3 papers). Nitika Mukhi is often cited by papers focused on Plant-Microbe Interactions and Immunity (4 papers), Hemoglobin structure and function (4 papers) and Plant Pathogenic Bacteria Studies (3 papers). Nitika Mukhi collaborates with scholars based in India, United Kingdom and Germany. Nitika Mukhi's co-authors include Mark J. Banfield, Adam R. Bentham, Juan Carlos De la Concepción, Richard K. Hughes, Rafał Zdrzałek, Suman Kundu, Jagreet Kaur, Clare E. M. Stevenson, Jonathan D. G. Jones and Pingtao Ding and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nitika Mukhi

10 papers receiving 273 citations

Peers

Nitika Mukhi

PS

MB

CB

BIOTE

IMMUN

Sebastian J. Nintemann Denmark

Corina Weis Germany

Sébastien Lageix France

Keri Cavanaugh United States

Christen Y.L. Yuen United States

David Bringloe United Kingdom

Nattapong Sanguankiattichai United Kingdom

Robert Berkey United States

Kihye Shin South Korea

Zachary Savage United Kingdom

Sebastian J. Nintemann Denmark

Nitika Mukhi

166 ×0.8

PS

224 ×2.4

MB

30 ×0.5

CB

10 ×0.6

BIOTE

12 ×1.1

IMMUN

Citations per year, relative to Nitika Mukhi Nitika Mukhi (= 1×) peers Sebastian J. Nintemann

Countries citing papers authored by Nitika Mukhi

Since Specialization

Citations

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

Fields of papers citing papers by Nitika Mukhi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitika Mukhi

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

All Works

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10 of 10 papers shown

1.

ShouCai, Ma, Chunpeng An, Aaron W. Lawson, et al.. (2024). Oligomerization-mediated autoinhibition and cofactor binding of a plant NLR. Nature. 632(8026). 869–876. 25 indexed citations

2.

Mukhi, Nitika, Pingtao Ding, Adam R. Bentham, et al.. (2021). Perception of structurally distinct effectors by the integrated WRKY domain of a plant immune receptor. Proceedings of the National Academy of Sciences. 118(50). 37 indexed citations

3.

Bentham, Adam R., Juan Carlos De la Concepción, Nitika Mukhi, et al.. (2020). A molecular roadmap to the plant immune system. Journal of Biological Chemistry. 295(44). 14916–14935. 106 indexed citations

4.

Mukhi, Nitika, et al.. (2020). Exploring folds, evolution and host interactions: understanding effector structure/function in disease and immunity. New Phytologist. 227(2). 326–333. 29 indexed citations

5.

Padmaja, K., Kumar Paritosh, Nitika Mukhi, et al.. (2019). BjuWRR1, a CC-NB-LRR gene identified in Brassica juncea, confers resistance to white rust caused by Albugo candida. Theoretical and Applied Genetics. 132(8). 2223–2236. 30 indexed citations

6.

Mukhi, Nitika, Suman Kundu, & Jagreet Kaur. (2017). NO dioxygenase- and peroxidase-like activity of Arabidopsis phytoglobin 3 and its role in Sclerotinia sclerotiorum defense. Nitric Oxide. 68. 150–162. 6 indexed citations

7.

Mukhi, Nitika, et al.. (2016). Structural and Functional Significance of the N- and C-Terminal Appendages in Arabidopsis Truncated Hemoglobin. Biochemistry. 55(12). 1724–1740. 6 indexed citations

8.

Kumar, Amit, Nitika Mukhi, Amit Kumar Singh, et al.. (2016). Penta- and hexa-coordinate ferric hemoglobins display distinct pH titration profiles measured by Soret peak shifts. Analytical Biochemistry. 510. 120–128. 5 indexed citations

9.

Mukhi, Nitika, et al.. (2014). Significantly Enhanced Heme Retention Ability of Myoglobin Engineered to Mimic the Third Covalent Linkage by Nonaxial Histidine to Heme (Vinyl) in Synechocystis Hemoglobin. Journal of Biological Chemistry. 290(4). 1979–1993. 17 indexed citations

10.

Mukhi, Nitika, et al.. (2013). X-Ray crystallographic structural characteristics of Arabidopsis hemoglobin I and their functional implications. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(9). 1944–1956. 18 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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