Vikramjit Lahiri

19 papers receiving 1.3k citations

Hit Papers

Cargo recognition and degradation by selective autophagy 2018 · 805 citations
8050+2+5Years since publication250500750

Peers

Vikramjit Lahiri
Comparison fields: 5 of 97
  • Physiology 121
  • Epidemiology 823
  • Cell Biology 267
  • Parasitology 68
  • Geriatrics and Gerontology 38
Replace Heleen Vreeling‐Sindelárová with:
Heleen Vreeling‐Sindelárová Netherlands
Jacques P. M. Schellens Netherlands
Tsuyoshi Kawabata Japan
Yoshihiro Tagawa Japan
Takao Hanada Japan
Daniel Grasso Argentina
Martina Wirth United Kingdom
Steingrim Svenning Norway
Yuko Hirota Japan
Koichiro Takeshige Japan
Vikramjit Lahiri relative to Heleen Vreeling‐Sindelárová Netherlands Heleen Vreeling‐Sindelárová's profile →
Citations per field
00.5×8.4×
Heleen Vreeling‐Sindelárová · 1×
Citations per year

Countries citing papers authored by Vikramjit Lahiri

Since Specialization
Citations

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

Fields of papers citing papers by Vikramjit Lahiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vikramjit Lahiri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vikramjit Lahiri Line = papers co-authored together Vikramjit Lahiri links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Cargo recognition and degradation by selective autophagy
Hit paper breakdown →
2018805
2 2019213
3 202180
4 201558
5 197625
6 202017
7 201714
8 199711
9 199511
10 202110
11 19876
12 20233
13 19883
14 19823
15
Study on outbreak of meningococcal meningitis.
19852
16 19732
17 19941
18 19881
19 19791

About Vikramjit Lahiri

Vikramjit Lahiri is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Parasitic Diseases Research and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), MicroRNA in disease regulation (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Plant nutrient uptake and metabolism (1 paper). The work is most often cited by research in Physiology (121 citations), Epidemiology (823 citations), Cell Biology (267 citations), Parasitology (68 citations) and Geriatrics and Gerontology (38 citations). Vikramjit Lahiri has collaborated with scholars based in India, United States and Switzerland. Frequent co-authors include Daniel J. Klionsky, Damián Gatica, Wayne D. Hawkins, Aryadeep Roychoudhury, Aditya Banerjee, Zhihai Zhang, Ying Yang, Aileen Ariosa, Zhangyuan Yin and Yuchen Lei. Their work appears in journals such as Autophagy, Nuclear Medicine Communications, Cell Metabolism, Occupational and Environmental Medicine and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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