Utpal Nath

3.5k total citations · 2 hit papers
53 papers, 2.8k citations indexed

About

Utpal Nath is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Utpal Nath has authored 53 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 30 papers in Plant Science and 11 papers in Organic Chemistry. Recurrent topics in Utpal Nath's work include Plant Molecular Biology Research (27 papers), Plant Reproductive Biology (19 papers) and Plant Gene Expression Analysis (10 papers). Utpal Nath is often cited by papers focused on Plant Molecular Biology Research (27 papers), Plant Reproductive Biology (19 papers) and Plant Gene Expression Analysis (10 papers). Utpal Nath collaborates with scholars based in India, United Kingdom and Germany. Utpal Nath's co-authors include Enrico Coen, Rosemary Carpenter, Brian Crawford, Pooja Aggarwal, Krishna Reddy Challa, Mainak Das Gupta, Aurore Chételat, Detlef Weigel, Pilar Cubas and Edward E. Farmer and has published in prestigious journals such as Science, The Plant Cell and Biochemistry.

In The Last Decade

Utpal Nath

51 papers receiving 2.7k citations

Hit Papers

Control of Jasmonate Biosynthesis and Senescence by miR31... 2003 2026 2010 2018 2008 2003 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Utpal Nath India 23 2.2k 2.0k 144 141 103 53 2.8k
Jean‐Denis Faure France 31 2.0k 0.9× 2.1k 1.1× 39 0.3× 68 0.5× 26 0.3× 54 3.1k
Beth A. Krizek United States 28 3.6k 1.6× 3.5k 1.7× 78 0.5× 361 2.6× 27 0.3× 46 4.3k
Emmanuelle Bayer France 30 3.3k 1.5× 2.2k 1.1× 29 0.2× 102 0.7× 98 1.0× 56 3.9k
Tian‐Qi Zhang China 18 2.1k 0.9× 1.8k 0.9× 26 0.2× 101 0.7× 23 0.2× 38 2.5k
Yutaka Kodama Japan 24 1.2k 0.5× 1.7k 0.9× 106 0.7× 124 0.9× 8 0.1× 99 2.3k
Nam‐Hai Chua United States 24 2.1k 1.0× 1.8k 0.9× 247 1.7× 67 0.5× 12 0.1× 33 2.9k
Adi Avni Israel 29 1.9k 0.8× 1.2k 0.6× 117 0.8× 78 0.6× 10 0.1× 82 2.8k
Jia‐Ying Zhu China 17 1.4k 0.6× 938 0.5× 76 0.5× 37 0.3× 18 0.2× 23 1.8k
Ko Kato Japan 26 1.4k 0.6× 2.0k 1.0× 40 0.3× 86 0.6× 11 0.1× 88 2.5k
Guido Großmann Germany 30 1.7k 0.8× 1.8k 0.9× 41 0.3× 110 0.8× 37 0.4× 49 2.9k

Countries citing papers authored by Utpal Nath

Since Specialization
Citations

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

Fields of papers citing papers by Utpal Nath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Utpal Nath

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

All Works

20 of 20 papers shown
1.
Nath, Utpal, et al.. (2024). Advantage looping: Gene regulatory circuits between microRNAs and their target transcription factors in plants. PLANT PHYSIOLOGY. 196(4). 2304–2319. 4 indexed citations
2.
Nath, Utpal. (2023). Study of Morphological and Anatomical Abnormalities in Freshwater Fish Species: An Observational Series of Case Studies. International Journal of Science and Research (IJSR). 12(6). 256–261. 1 indexed citations
3.
Nath, Utpal, et al.. (2023). A double-negative feedback loop between miR319c and JAW-TCPs establishes growth pattern in incipient leaf primordia in Arabidopsis thaliana. PLoS Genetics. 19(9). e1010978–e1010978. 5 indexed citations
4.
Karmakar, Kapudeep, Rohan Bhattacharya, Utpal Nath, et al.. (2022). Lysinibacillus macroides ‐mediated control of cellulose‐producing morphotype of Salmonella. Journal of the Science of Food and Agriculture. 102(14). 6491–6501. 10 indexed citations
5.
Challa, Krishna Reddy, et al.. (2022). CINCINNATA-Like TCP Transcription Factors in Cell Growth – An Expanding Portfolio. Frontiers in Plant Science. 13. 825341–825341. 22 indexed citations
6.
Challa, Krishna Reddy, et al.. (2021). Active suppression of leaflet emergence as a mechanism of simple leaf development. Nature Plants. 7(9). 1264–1275. 31 indexed citations
7.
Karmakar, Kapudeep, et al.. (2020). Co-cultivation of Beta vulgaris limits the pre-harvest colonization of foodborne pathogen (Salmonella spp.) on tomato. International Journal of Food Microbiology. 332. 108768–108768. 9 indexed citations
8.
Challa, Krishna Reddy, et al.. (2019). The TCP4 Transcription Factor Directly Activates TRICHOMELESS1 and 2 and Suppresses Trichome Initiation. PLANT PHYSIOLOGY. 181(4). 1587–1599. 31 indexed citations
9.
Gupta, Mainak Das, et al.. (2018). Molecular cartography of leaf development — role of transcription factors. Current Opinion in Plant Biology. 47. 22–31. 33 indexed citations
10.
Karmakar, Kapudeep, Utpal Nath, Karaba N. Nataraja, & Dipshikha Chakravortty. (2018). Root mediated uptake of Salmonella is different from phyto-pathogen and associated with the colonization of edible organs. BMC Plant Biology. 18(1). 344–344. 17 indexed citations
11.
Nath, Utpal, et al.. (2011). Hyper‐activation of the TCP4 transcription factor inArabidopsis thalianaaccelerates multiple aspects of plant maturation. The Plant Journal. 67(4). 595–607. 143 indexed citations
12.
Aggarwal, Pooja, et al.. (2011). The TCP4 transcription factor of Arabidopsis blocks cell division in yeast at G1→S transition. Biochemical and Biophysical Research Communications. 410(2). 276–281. 18 indexed citations
13.
Nath, Utpal, et al.. (2011). Interaction of TCP4-mediated growth module with phytohormones. Plant Signaling & Behavior. 6(10). 1440–1443. 32 indexed citations
14.
Aggarwal, Pooja, Mainak Das Gupta, Agnel Praveen Joseph, et al.. (2010). Identification of Specific DNA Binding Residues in the TCP Family of Transcription Factors in Arabidopsis  . The Plant Cell. 22(4). 1174–1189. 119 indexed citations
15.
Schommer, Carla, Javier F. Palatnik, Pooja Aggarwal, et al.. (2008). Control of Jasmonate Biosynthesis and Senescence by miR319 Targets. PLoS Biology. 6(9). e230–e230. 675 indexed citations breakdown →
16.
Nath, Utpal, et al.. (2006). Regeneration of the carbonyl compounds from their semicarbazones using tetra-n-alkylammonium bromates. Indian Journal of Chemistry Section B-organic Chemistry Including Medicinal Chemistry. 45(9). 2157–2160. 1 indexed citations
17.
Nath, Utpal, et al.. (2004). Tetra-n-alkyl ammonium bromates as a primary oxidants in the oxidation of alcohols to carbonyl compounds. Indian Journal of Chemistry Section B-organic Chemistry Including Medicinal Chemistry. 43(6). 1360–1362. 1 indexed citations
18.
Nath, Utpal, Brian Crawford, Rosemary Carpenter, & Enrico Coen. (2003). Genetic Control of Surface Curvature. Science. 299(5611). 1404–1407. 590 indexed citations breakdown →
19.
Nath, Utpal & Jayant B. Udgaonkar. (1997). How do proteins fold. Current Science. 72(3). 180–191. 14 indexed citations
20.
Nath, Utpal, et al.. (1997). Multiple intermediates and transition states during protein unfolding. Nature Structural Biology. 4(12). 1016–1024. 84 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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