Amit Kamboj

13 papers receiving 433 citations

Peers

Amit Kamboj
Comparison fields: 5 of 80
  • Biological Psychiatry 17
  • Geriatrics and Gerontology 22
  • Biochemistry 48
  • Developmental Neuroscience 15
  • Physiology 18
Replace Steven Vitale with:
Steven Vitale United States
Diana Barrera‐Oviedo Mexico
Victoriano Pérez‐Vázquez Mexico
Durgesh Kumar Dwivedi India
Ting Guo China
Maha A.E. Ahmed Egypt
Cengiz Bayçu Türkiye
Gisela Reifenberg Germany
Yaoyan Dun China
Xiaohui L. Wang United States
Amit Kamboj relative to Steven Vitale United States Steven Vitale's profile →
Citations per field
00.5×2.6×
Steven Vitale · 1×
Citations per year

Countries citing papers authored by Amit Kamboj

Since Specialization
Citations

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

Fields of papers citing papers by Amit Kamboj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200564
2 200863
3 201458
4 200649
5 200848
6 200935
7 201034
8 201326
9 201022
10 201919
11 200714
12 201911
13 20061
14
Interpreting Liver Function Tests: Patients' Elevated LFT Results Can Indicate Hepatocyte Injury, Cholestasis, or Both
20070
15 20240
16 20170
17 20240

About Amit Kamboj

Amit Kamboj is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Oncology and Epidemiology, having authored 17 papers that have together received 444 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Liver Disease Diagnosis and Treatment (3 papers), PARP inhibition in cancer therapy (3 papers), Pesticide Exposure and Toxicity (3 papers), Alzheimer's disease research and treatments (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Biological Psychiatry (17 citations), Geriatrics and Gerontology (22 citations), Biochemistry (48 citations), Developmental Neuroscience (15 citations) and Physiology (18 citations). Amit Kamboj has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Rajat Sandhir, Christopher M. Anderson, Ravi Kiran, Ping Lü, Sukhdev Singh Kamboj, Vikas Kumar, Spencer B. Gibson, Zongjun Shao, H. D. Anderson and Valentina Medici. Their work appears in journals such as Journal of Neuroinflammation, Journal of Neuroscience, Obesity, Molecular and Cellular Biochemistry and Journal of Neurochemistry.

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.

Explore authors with similar magnitude of impact