Lakshya Bajaj

1.4k citations
8 papers · 827 indexed · 1 hit paper · h-index 7
Topics
Cellular transport and secretion (6 papers)Autophagy in Disease and Therapy (4 papers)Lysosomal Storage Disorders Research (4 papers)

In The Last Decade

Lakshya Bajaj

8 papers receiving 818 citations

Hit Papers

mTORC1-independent TFEB activation via Akt inhibition pro...20172026202020232017100200300

Peers

Lakshya Bajaj
Comparison fields: 5 of 75
  • Physiology 386
  • Epidemiology 362
  • Molecular Biology 298
  • Cell Biology 241
  • Physiology 157
Replace Hemanth R. Nelvagal with:
Hemanth R. Nelvagal United States
Heidi Martini‐Stoica United States
Swetha Gowrishankar United States
Aurora Scrivo United States
Alicia Mansilla Spain
Daniel B. Swartzlander United States
Eszter Zavodszky United Kingdom
Tuancheng Feng United States
Cansu Karabiyik United Kingdom
Samantha J. Orenstein United States
Lakshya Bajaj relative to Hemanth R. Nelvagal United States Hemanth R. Nelvagal's profile →
Citations per field
00.5×1.5×
Hemanth R. Nelvagal · 1×
Citations per year

Countries citing papers authored by Lakshya Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Lakshya Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lakshya Bajaj

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 6
2 17
3 51
4 83
5 112
6 166
7
mTORC1-independent TFEB activation via Akt inhibition promotes cellular clearance in neurodegenerative storage diseasesbreakdown →
352
8 40

About Lakshya Bajaj

Lakshya Bajaj is a scholar working on Physiology, Aging and Cell Biology, having authored 8 papers that have together received 827 indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Autophagy in Disease and Therapy (4 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Physiology (157 citations), Physiology (386 citations) and Cell Biology (241 citations). Lakshya Bajaj has collaborated with scholars based in United States, Hong Kong and Italy. Frequent co-authors include Marco Sardiello, Parisa Lotfi, Rituraj Pal, Jai Prakash Sharma, Alberto di Ronza, Michela Palmieri, Deepthi Sanagasetti, Joel R. Neilson, Arindam Chaudhury and George G. Rodney. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.

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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