Ajit Tiwari

873 total citations
23 papers, 622 citations indexed

About

Ajit Tiwari is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Ajit Tiwari has authored 23 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cell Biology, 14 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Ajit Tiwari's work include Cellular transport and secretion (11 papers), Caveolin-1 and cellular processes (6 papers) and Lipid Membrane Structure and Behavior (5 papers). Ajit Tiwari is often cited by papers focused on Cellular transport and secretion (11 papers), Caveolin-1 and cellular processes (6 papers) and Lipid Membrane Structure and Behavior (5 papers). Ajit Tiwari collaborates with scholars based in United States and Germany. Ajit Tiwari's co-authors include Amit Choudhury, Jaejoon Jung, Anne K. Kenworthy, Apollina Goel, Bing Han, Charles O. Brown, Venkatraman Manickam, Debabrata Mukhopadhyay, Resham Bhattacharya and Deepak Nihalani and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Ajit Tiwari

22 papers receiving 618 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajit Tiwari United States 14 404 284 75 62 60 23 622
Xiao Peng United States 7 316 0.8× 414 1.5× 74 1.0× 35 0.6× 100 1.7× 10 673
Oxana Nekrasova United States 9 410 1.0× 301 1.1× 45 0.6× 38 0.6× 39 0.7× 11 736
Damien Ramel France 18 479 1.2× 463 1.6× 67 0.9× 61 1.0× 48 0.8× 24 871
Kazumasa Sato Japan 8 583 1.4× 432 1.5× 40 0.5× 47 0.8× 97 1.6× 21 948
Désirée Spiering United States 7 369 0.9× 191 0.7× 43 0.6× 29 0.5× 65 1.1× 8 594
Antje Schaefer Netherlands 15 514 1.3× 346 1.2× 74 1.0× 39 0.6× 123 2.0× 20 818
Sandra Pankow United States 14 432 1.1× 199 0.7× 71 0.9× 68 1.1× 17 0.3× 20 784
Fiona G. Wylie Australia 8 392 1.0× 329 1.2× 70 0.9× 30 0.5× 45 0.8× 8 636
Francesco Baschieri France 12 293 0.7× 361 1.3× 49 0.7× 24 0.4× 108 1.8× 22 556
Melanie Meister Germany 14 496 1.2× 387 1.4× 83 1.1× 34 0.5× 29 0.5× 18 738

Countries citing papers authored by Ajit Tiwari

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Tiwari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Tiwari

This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Tiwari. A scholar is included among the top collaborators of Ajit Tiwari 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 Tiwari. Ajit Tiwari 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.
Han, Bing, Alican Gulsevin, Ting Wang, et al.. (2023). Structural analysis of the P132L disease mutation in caveolin-1 reveals its role in the assembly of oligomeric complexes. Journal of Biological Chemistry. 299(4). 104574–104574. 7 indexed citations
2.
Fricke, Nico, Krishnan Raghunathan, Ajit Tiwari, et al.. (2022). High-Content Imaging Platform to Discover Chemical Modulators of Plasma Membrane Rafts. ACS Central Science. 8(3). 370–378. 10 indexed citations
3.
Capone, Ricardo, Ajit Tiwari, Arina Hadziselimovic, et al.. (2021). The C99 domain of the amyloid precursor protein resides in the disordered membrane phase. Journal of Biological Chemistry. 296. 100652–100652. 18 indexed citations
4.
Kenworthy, Anne K., Stefanie S. Schmieder, Krishnan Raghunathan, et al.. (2021). Cholera Toxin as a Probe for Membrane Biology. Toxins. 13(8). 543–543. 32 indexed citations
5.
Capone, Ricardo, Ajit Tiwari, Nico Fricke, et al.. (2020). Use of Giant Plasma Membrane Vesicles (GPMV) to Examine the Lo/Ld Phase Preference of the C99 Domain of the Amyloid Precursor Protein. Biophysical Journal. 118(3). 392a–392a. 1 indexed citations
6.
Insinna, Christine, Quanlong Lü, Adam Harned, et al.. (2019). Investigation of F-BAR domain PACSIN proteins uncovers membrane tubulation function in cilia assembly and transport. Nature Communications. 10(1). 428–428. 44 indexed citations
7.
Tiwari, Ajit, et al.. (2019). Structural and functional analysis of ferritin heavy chain subunit in Oryziaslatipes. 4(1). 1–12. 2 indexed citations
8.
Saito‐Diaz, Kenyi, Hassina Benchabane, Ajit Tiwari, et al.. (2018). APC Inhibits Ligand-Independent Wnt Signaling by the Clathrin Endocytic Pathway. Developmental Cell. 44(5). 566–581.e8. 66 indexed citations
9.
Han, Bing, Ajit Tiwari, Eric D. Austin, et al.. (2017). A disease-associated frameshift mutation in caveolin-1 disrupts caveolae formation and function through introduction of a de novo ER retention signal. Molecular Biology of the Cell. 28(22). 3095–3111. 26 indexed citations
10.
Tiwari, Ajit, et al.. (2016). Genetic variability and character association for yield and its component traits in kharif onion genotypes. 1 indexed citations
11.
Tiwari, Ajit, et al.. (2016). Caveolin-1 is an aggresome-inducing protein. Scientific Reports. 6(1). 38681–38681. 8 indexed citations
12.
Han, Bing, et al.. (2016). Assembly and Turnover of Caveolae: What Do We Really Know?. Frontiers in Cell and Developmental Biology. 4. 26 indexed citations
13.
Day, Charles, Nicholas W. Baetz, Lewis J. Kraft, et al.. (2015). Microtubule Motors Power Plasma Membrane Tubulation in Clathrin‐Independent Endocytosis. Traffic. 16(6). 572–590. 44 indexed citations
14.
Han, Bing, Ajit Tiwari, & Anne K. Kenworthy. (2014). Tagging Strategies Strongly Affect the Fate of Overexpressed Caveolin‐1. Traffic. 16(4). 417–438. 24 indexed citations
15.
Jung, Jaejoon, et al.. (2013). Syntaxin 16 Regulates Lumen Formation during Epithelial Morphogenesis. PLoS ONE. 8(4). e61857–e61857. 13 indexed citations
16.
Jung, Jaejoon, et al.. (2012). Secretion of Soluble Vascular Endothelial Growth Factor Receptor 1 (sVEGFR1/sFlt1) Requires Arf1, Arf6, and Rab11 GTPases. PLoS ONE. 7(9). e44572–e44572. 30 indexed citations
17.
Jung, Jaejoon, et al.. (2012). Regulation of intracellular membrane trafficking and cell dynamics by syntaxin-6. Bioscience Reports. 32(4). 383–391. 46 indexed citations
18.
Tiwari, Ajit, et al.. (2012). The myosin motor Myo1c is required for VEGFR2 delivery to the cell surface and for angiogenic signaling. American Journal of Physiology-Heart and Circulatory Physiology. 304(5). H687–H696. 53 indexed citations
19.
Tiwari, Ajit, et al.. (2011). Endothelial Cell Migration on Fibronectin Is Regulated by Syntaxin 6-mediated α5β1 Integrin Recycling. Journal of Biological Chemistry. 286(42). 36749–36761. 53 indexed citations
20.
Tiwari, Ajit, Ghanshyam Tiwari, Sandeep Kumar, et al.. (2000). Effect of nitrogen application on growth and yield of Acorus calamus.. Journal of Medicinal and Aromatic Plant Sciences. 22. 636–638.

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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