Sakharam Waghmare

1.8k total citations · 2 hit papers
17 papers, 1.4k citations indexed

About

Sakharam Waghmare is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Sakharam Waghmare has authored 17 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cell Biology and 6 papers in Plant Science. Recurrent topics in Sakharam Waghmare's work include Cellular transport and secretion (7 papers), Photosynthetic Processes and Mechanisms (6 papers) and RNA and protein synthesis mechanisms (6 papers). Sakharam Waghmare is often cited by papers focused on Cellular transport and secretion (7 papers), Photosynthetic Processes and Mechanisms (6 papers) and RNA and protein synthesis mechanisms (6 papers). Sakharam Waghmare collaborates with scholars based in United Kingdom, United States and Netherlands. Sakharam Waghmare's co-authors include Mark J. Dickman, Jelle B. Bultema, Kaihong Zhou, Blake Wiedenheft, Egbert J. Boekema, Jennifer A. Doudna, Esther van Duijn, Albert J. R. Heck, Arjan Barendregt and Rucha Karnik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and The Plant Cell.

In The Last Decade

Sakharam Waghmare

17 papers receiving 1.4k citations

Hit Papers

Structural basis for CRISPR RNA-guided DNA recognition by... 2011 2026 2016 2021 2011 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sakharam Waghmare United Kingdom 14 1.2k 310 238 175 174 17 1.4k
Patrick Pausch Germany 16 1.3k 1.0× 206 0.7× 256 1.1× 166 0.9× 136 0.8× 21 1.4k
Ole Niewoehner Switzerland 7 1.5k 1.2× 125 0.4× 305 1.3× 115 0.7× 155 0.9× 7 1.6k
Ekaterina Savitskaya Russia 19 943 0.8× 223 0.7× 260 1.1× 146 0.8× 158 0.9× 36 999
Russell T. Walton United States 7 1.5k 1.2× 218 0.7× 298 1.3× 74 0.4× 161 0.9× 8 1.5k
Dipali G. Sashital United States 22 1.7k 1.3× 193 0.6× 297 1.2× 166 0.9× 229 1.3× 39 1.7k
Ksenia Pougach Russia 8 905 0.7× 81 0.3× 282 1.2× 192 1.1× 159 0.9× 11 978
Georg Mohr United States 22 1.7k 1.4× 239 0.8× 373 1.6× 435 2.5× 49 0.3× 39 1.9k
R.E. Haurwitz United States 6 1.1k 0.9× 101 0.3× 230 1.0× 149 0.9× 109 0.6× 7 1.1k
Giuseppe Cannone United Kingdom 9 628 0.5× 47 0.2× 134 0.6× 79 0.5× 58 0.3× 15 686
Satomi Banno Japan 7 1.1k 0.9× 188 0.6× 331 1.4× 47 0.3× 97 0.6× 8 1.2k

Countries citing papers authored by Sakharam Waghmare

Since Specialization
Citations

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

Fields of papers citing papers by Sakharam Waghmare

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakharam Waghmare

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

All Works

17 of 17 papers shown
1.
Waghmare, Sakharam, et al.. (2024). SYNTAXIN OF PLANTS 132 underpins secretion of cargoes associated with salicylic acid signaling and pathogen defense. PLANT PHYSIOLOGY. 197(1). 1 indexed citations
2.
Waghmare, Sakharam, et al.. (2024). Arabidopsis SNARE SYP132 impacts on PIP2;1 trafficking and function in salinity stress. The Plant Journal. 118(4). 1036–1053. 7 indexed citations
3.
Carroll, William L., Sakharam Waghmare, Maria Papanatsiou, et al.. (2022). Engineering a K+ channel ‘sensory antenna’ enhances stomatal kinetics, water use efficiency and photosynthesis. Nature Plants. 8(11). 1262–1274. 33 indexed citations
4.
Waghmare, Sakharam, et al.. (2022). SNARE SYP132 mediates divergent traffic of plasma membrane H+-ATPase AHA1 and antimicrobial PR1 during bacterial pathogenesis. PLANT PHYSIOLOGY. 189(3). 1639–1661. 23 indexed citations
5.
Waghmare, Sakharam, et al.. (2019). K+ Channel-SEC11 Binding Exchange Regulates SNARE Assembly for Secretory Traffic. PLANT PHYSIOLOGY. 181(3). 1096–1113. 19 indexed citations
6.
Waghmare, Sakharam, et al.. (2018). SNAREs SYP121 and SYP122 Mediate the Secretion of Distinct Cargo Subsets. PLANT PHYSIOLOGY. 178(4). 1679–1688. 47 indexed citations
7.
Lefoulon, Cécile, Sakharam Waghmare, Rucha Karnik, & Michael R. Blatt. (2018). Gating control and K+ uptake by the KAT1 K+ channel leaveraged through membrane anchoring of the trafficking protein SYP121. Plant Cell & Environment. 41(11). 2668–2677. 24 indexed citations
8.
Zhang, Ben, Rucha Karnik, Sakharam Waghmare, Naomi Donald, & Michael R. Blatt. (2016). VAMP721 Conformations Unmask an Extended Motif for K+ Channel Binding and Gating Control. PLANT PHYSIOLOGY. 173(1). 536–551. 27 indexed citations
9.
Karnik, Rucha, Sakharam Waghmare, Ben Zhang, et al.. (2016). Commandeering Channel Voltage Sensors for Secretion, Cell Turgor, and Volume Control. Trends in Plant Science. 22(1). 81–95. 43 indexed citations
10.
Waghmare, Sakharam, Alison O. Nwokeoji, & Mark J. Dickman. (2015). Analysis of crRNA Using Liquid Chromatography Electrospray Ionization Mass Spectrometry (LC ESI MS). Methods in molecular biology. 1311. 133–145. 2 indexed citations
11.
Grefen, Christopher, Rucha Karnik, Emily R. Larson, et al.. (2015). A vesicle-trafficking protein commandeers Kv channel voltage sensors for voltage-dependent secretion. Nature Plants. 1(8). 15108–15108. 56 indexed citations
13.
Šinkūnas, Tomas, Giedrius Gasiūnas, Sakharam Waghmare, et al.. (2013). In vitro reconstitution of Cascade‐mediated CRISPR immunity in Streptococcus thermophilus. The EMBO Journal. 32(3). 385–394. 190 indexed citations
14.
Wiedenheft, Blake, Esther van Duijn, Jelle B. Bultema, et al.. (2011). RNA-guided complex from a bacterial immune system enhances target recognition through seed sequence interactions. Proceedings of the National Academy of Sciences. 108(25). 10092–10097. 350 indexed citations breakdown →
15.
Jore, Matthijs M., Magnus Lundgren, Esther van Duijn, et al.. (2011). Structural basis for CRISPR RNA-guided DNA recognition by Cascade. Nature Structural & Molecular Biology. 18(5). 529–536. 447 indexed citations breakdown →
16.
Waghmare, Sakharam & Mark J. Dickman. (2011). Characterization and Quantification of RNA Post-transcriptional Modifications Using Stable Isotope Labeling of RNA in Conjunction with Mass Spectrometry Analysis. Analytical Chemistry. 83(12). 4894–4901. 30 indexed citations
17.
Waghmare, Sakharam, et al.. (2008). Studying the mechanism of RNA separations using RNA chromatography and its application in the analysis of ribosomal RNA and RNA:RNA interactions. Journal of Chromatography A. 1216(9). 1377–1382. 36 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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