Ajay K. Jain

2.5k citations
84 papers · 1.3k indexed · h-index 21

Ajay K. Jain

79 papers receiving 1.2k citations

Peers

Ajay K. Jain
Comparison fields: 5 of 126
  • Nutrition and Dietetics 310
  • Hepatology 148
  • Epidemiology 312
  • Biochemistry 49
  • Physiology 201
Replace J. M. Culebras with:
J. M. Culebras Spain
Patricia Pérez‐Matute Spain
Željko Romić Croatia
Mehran Rahimlou Iran
Helda Tutunchi Iran
Sarvin Sanaie Iran
Dominika Maciejewska Poland
J. Christian Bode Germany
Shaomei Sun China
Cláudio Augusto Marroni Brazil
Ajay K. Jain relative to J. M. Culebras Spain J. M. Culebras's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ajay K. Jain

Since Specialization
Citations

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

Fields of papers citing papers by Ajay K. Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajay K. Jain. 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 Ajay K. Jain. The network helps show where Ajay K. Jain may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20242
4 20240
5 20242
6 202312
7 20225
8 20215
9 20215
10 20201
11 201955
12
The Effect of Variable Thermal Conductivity and The Inclined Magnetic Field on Mhd Plane Poiseuille Flow Past Non-Uniform Plate Temperature
20163
13
Back flow analysis of unsteady MHD fluid flow over stretching surface with Hall Effect in presence of permeability
20161
14 201622
15
Relationship between changes in serum levels of keratin 18 and changes in liver histology in children and adults with nonalcoholic fatty liver disease
20142
16
Analgesic and Anti-Inflammatory Activity of Kalanchoe Pinnata (Lam.) Pers
201310
17 2011104
18 2009118
19
Hepatitis G virus (HGV) infection & its pathogenic significance in patients of cirrhosis.
19998
20 199272

About Ajay K. Jain

Ajay K. Jain is a scholar working on Hepatology, Nutrition and Dietetics and Transplantation, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Clinical Nutrition and Gastroenterology (17 papers), Liver Disease Diagnosis and Treatment (15 papers), Liver Disease and Transplantation (9 papers), Carcinogens and Genotoxicity Assessment (8 papers), Pediatric Hepatobiliary Diseases and Treatments (7 papers), Diet and metabolism studies (7 papers), Drug Transport and Resistance Mechanisms (7 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Nutrition and Dietetics (310 citations), Hepatology (148 citations) and Epidemiology (312 citations). Ajay K. Jain has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Tsuneo Kada, Narinder Pal Singh, David D. Moore, Jeffrey Teckman, Douglas G. Burrin, Jens J. Holst, Barbara J. Stoll, Chandrashekhara Manithody, Yukiaki Kuroda and Hideo Tezuka. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and SHILAP Revista de lepidopterología.

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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