Ajit P. Joglekar

3.3k total citations · 1 hit paper
45 papers, 2.5k citations indexed

About

Ajit P. Joglekar is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Ajit P. Joglekar has authored 45 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 34 papers in Cell Biology and 11 papers in Plant Science. Recurrent topics in Ajit P. Joglekar's work include Microtubule and mitosis dynamics (33 papers), Genomics and Chromatin Dynamics (19 papers) and Photosynthetic Processes and Mechanisms (10 papers). Ajit P. Joglekar is often cited by papers focused on Microtubule and mitosis dynamics (33 papers), Genomics and Chromatin Dynamics (19 papers) and Photosynthetic Processes and Mechanisms (10 papers). Ajit P. Joglekar collaborates with scholars based in United States, United Kingdom and Japan. Ajit P. Joglekar's co-authors include Kerry Bloom, Edward D. Salmon, Alan Hunt, David C. Bouck, G. Mourou, Edgar Meyhöfer, Pavithra Aravamudhan, Jeffrey N. Molk, Julian Haase and Bruce F. McEwen and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ajit P. Joglekar

44 papers receiving 2.5k 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.

Optics at critical intensity: Applications to nanomorphing

2004 223 citations Ajit P. Joglekar, Alan Hunt et al. profile →

Peers

Ajit P. Joglekar

MB

CB

PS

CM

BE

Mary Morphew United States

Erkan Tüzel United States

Reza Farhadifar United States

Nicolas Minc France

Shamci Monajembashi Germany

Léo Valon France

David Popp Japan

Edward J. Banigan United States

Steffen Dietzel Germany

Emilia Laura Munteanu United States

Mary Morphew United States

Ajit P. Joglekar

2.1k ×1.1

MB

1.6k ×1.0

CB

349 ×0.5

PS

19 ×0.1

CM

166 ×0.7

BE

Citations per year, relative to Ajit P. Joglekar Ajit P. Joglekar (= 1×) peers Mary Morphew

Countries citing papers authored by Ajit P. Joglekar

Since Specialization

Citations

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

Fields of papers citing papers by Ajit P. Joglekar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajit P. Joglekar. 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 Ajit P. Joglekar. The network helps show where Ajit P. Joglekar may publish in the future.

Co-authorship network of co-authors of Ajit P. Joglekar

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

All Works

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20 of 20 papers shown

1.

Chen, Chu, et al.. (2023). Signaling protein abundance modulates the strength of the spindle assembly checkpoint. Current Biology. 33(20). 4505–4515.e4. 4 indexed citations

2.

Chen, Chu, et al.. (2023). The structural flexibility of MAD1 facilitates the assembly of the Mitotic Checkpoint Complex. Nature Communications. 14(1). 1529–1529. 10 indexed citations

3.

Joglekar, Ajit P., et al.. (2022). Kre28–Spc105 interaction is essential for Spc105 loading at the kinetochore. Open Biology. 12(1). 210274–210274. 1 indexed citations

4.

Joglekar, Ajit P., et al.. (2021). Aurora B phosphorylates Bub1 to promote spindle assembly checkpoint signaling. Current Biology. 32(1). 237–247.e6. 22 indexed citations

5.

Joglekar, Ajit P., et al.. (2020). The copy-number and varied strengths of MELT motifs in Spc105 balance the strength and responsiveness of the spindle assembly checkpoint. eLife. 9. 11 indexed citations

6.

Joglekar, Ajit P., et al.. (2017). Stu2 acts as a microtubule destabilizer in metaphase budding yeast spindles. Molecular Biology of the Cell. 29(3). 247–255. 10 indexed citations

7.

Verma, Vikash, et al.. (2015). Using Protein Dimers to Maximize the Protein Hybridization Efficiency with Multisite DNA Origami Scaffolds. PLoS ONE. 10(9). e0137125–e0137125. 6 indexed citations

8.

Aravamudhan, Pavithra, et al.. (2015). The kinetochore encodes a mechanical switch to disrupt spindle assembly checkpoint signalling. Nature Cell Biology. 17(7). 868–879. 90 indexed citations

9.

Aravamudhan, Pavithra, et al.. (2013). The Budding Yeast Point Centromere Associates with Two Cse4 Molecules during Mitosis. Current Biology. 23(9). 770–774. 40 indexed citations

10.

Bloom, Kerry & Ajit P. Joglekar. (2010). Towards building a chromosome segregation machine. Nature. 463(7280). 446–456. 53 indexed citations

11.

Joglekar, Ajit P., et al.. (2010). Mechanisms of force generation by end-on kinetochore-microtubule attachments. Current Opinion in Cell Biology. 22(1). 57–67. 79 indexed citations

12.

Joglekar, Ajit P., Kerry Bloom, & Edward D. Salmon. (2009). In Vivo Protein Architecture of the Eukaryotic Kinetochore with Nanometer Scale Accuracy. Current Biology. 19(8). 694–699. 154 indexed citations

13.

Ribeiro, Susana A., Jesse C. Gatlin, Yimin Dong, et al.. (2009). Condensin Regulates the Stiffness of Vertebrate Centromeres. Molecular Biology of the Cell. 20(9). 2371–2380. 118 indexed citations

14.

Joglekar, Ajit P. & Jennifer G. DeLuca. (2009). Chromosome Segregation: Ndc80 Can Carry the Load. Current Biology. 19(10). R404–R407. 13 indexed citations

15.

Joglekar, Ajit P., David C. Bouck, Xingkun Liu, et al.. (2008). Molecular architecture of the kinetochore-microtubule attachment site is conserved between point and regional centromeres. The Journal of Cell Biology. 181(4). 587–594. 129 indexed citations

16.

Joglekar, Ajit P., Edward D. Salmon, & Kerry Bloom. (2008). Counting Kinetochore Protein Numbers in Budding Yeast Using Genetically Encoded Fluorescent Proteins. Methods in cell biology. 85. 127–151. 50 indexed citations

17.

Yeh, Elaine, Julian Haase, Leocadia V. Paliulis, et al.. (2008). Pericentric Chromatin Is Organized into an Intramolecular Loop in Mitosis. Current Biology. 18(2). 81–90. 132 indexed citations

18.

Joglekar, Ajit P., David C. Bouck, Jeffrey N. Molk, Kerry Bloom, & Edward D. Salmon. (2006). Molecular architecture of a kinetochore–microtubule attachment site. Nature Cell Biology. 8(6). 581–585. 233 indexed citations

19.

Joglekar, Ajit P. & Alan Hunt. (2002). A Simple, Mechanistic Model for Directional Instability during Mitotic Chromosome Movements. Biophysical Journal. 83(1). 42–58. 112 indexed citations

20.

Kunte, Krushnamegh, Ajit P. Joglekar, Utkarsh Ghate, & Padmanabhan Pramod. (1999). Patterns of butterfly, bird and tree diversity in the Western Ghats. Current Science. 77(4). 577–586. 45 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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