Nikit Kumar

18 papers receiving 1.4k citations

Nikit Kumar's Hit Papers

ATG2 transports lipids to promote autophagosome biogenesis 2019 · 414 citations
4140+2+5Years since publication100200300400

Peers

Nikit Kumar
Comparison fields: 5 of 78
  • Biochemistry 182
  • Cell Biology 309
  • Epidemiology 412
  • Immunology and Allergy 43
  • Immunology 115
Replace Christopher C. Widnell with:
Christopher C. Widnell United States
Carole L. Moncman United States
Anne Petiot France
Tuanlao Wang China
Rossella Venditti Italy
Glenn E. Brown United States
Bakar Bouadjar Algeria
Choah Kim United States
Véronique Pons France
Masao Nagata Japan
Nikit Kumar relative to Christopher C. Widnell United States Christopher C. Widnell's profile →
Citations per field
00.5×20×40×54.7×
Christopher C. Widnell · 1×
Citations per year

Countries citing papers authored by Nikit Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Nikit Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nikit Kumar, 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 Nikit Kumar Line = papers co-authored together Nikit Kumar links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
VPS13A and VPS13C are lipid transport proteins differentially localized at ER contact sites
Hit paper breakdown →
2018457
2
ATG2 transports lipids to promote autophagosome biogenesis
Hit paper breakdown →
2019414
3 2020107
4 202067
5 201163
6 201453
7 201342
8 199737
9 202133
10 202424
11 201319
12 201215
13 201214
14 201311
15
Dietary carbohydrates and synthesis and secretion of apolipoprotein B-containing lipoproteins in rat hepatocytes.
19945
16 20004
17 20224
18 20011

About Nikit Kumar

Nikit Kumar is a scholar working on Immunology, Cell Biology, Surgery, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Cellular transport and secretion (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Digestive system and related health (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Inflammasome and immune disorders (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Biochemistry (182 citations), Cell Biology (309 citations), Epidemiology (412 citations), Immunology and Allergy (43 citations) and Immunology (115 citations). Nikit Kumar has collaborated with scholars based in United States and India. Frequent co-authors include Joshua A. Lees, Karin M. Reinisch, Peiqi Li, Shenliang Yu, Thomas M. Walz, Thomas James Melia, Florian A. Horenkamp, William F. Hancock-Cerutti, Marianna Leonzino and Pietro V. De Camilli. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, The Journal of Cell Biology, Current Opinion in Gastroenterology, American Journal Of Pathology and Molecular Cell.

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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