Subhash Agal

1.1k citations
8 papers · 837 · h-index 8

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 5
    • Hepatitis B Virus Studies 2
    • Diagnosis and treatment of tuberculosis 2
    • Diverticular Disease and Complications 2
    • Pancreatitis Pathology and Treatment 1
    • Gastrointestinal disorders and treatments 1

Subhash Agal

8 papers receiving 801 citations

Peers

Subhash Agal
Comparison fields: 5 of 63
  • Hepatology 232
  • Endocrinology, Diabetes and Metabolism 349
  • Epidemiology 618
  • Pharmacology 73
  • Pathology and Forensic Medicine 135
Replace Parijat Gupte with:
Parijat Gupte India
Rajiv Baijal India
Enver Dolar Türkiye
Jian-Gao Fan China
Apurva A. Modi United States
Christine Carter‐Kent United States
Puneet Puri United States
Sean Koppe United States
Rafael S. Rios China
Chavdar S Pavlov Russia
Subhash Agal relative to Parijat Gupte India Parijat Gupte's profile →
Citations per field
00.5×1.5×
Parijat Gupte · 1×
Citations per year

Countries citing papers authored by Subhash Agal

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Agal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Subhash Agal, 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 Subhash Agal Line = papers co-authored together Subhash Agal links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2007290
2 2004253
3 200481
4 200574
5 200670
6
Tissue polymerase chain reaction in diagnosis of intestinal tuberculosis and Crohn's disease.
200448
7
Profile of hepatitis B e antigen-negative chronic hepatitis B.
200211
8
EPIDEMIOLOGY OF HEPATITIS E VIRUS INFECTION IN WESTERN INDIA
200810

About Subhash Agal

Subhash Agal is a scholar working on Epidemiology, Surgery, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 8 papers that have together received 837 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Diet, Metabolism, and Disease (2 papers), Hepatitis B Virus Studies (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Alcohol Consumption and Health Effects (2 papers), Diverticular Disease and Complications (2 papers), Pancreatitis Pathology and Treatment (1 paper) and Gastrointestinal disorders and treatments (1 paper). The work is most often cited by research in Hepatology (232 citations), Endocrinology, Diabetes and Metabolism (349 citations), Epidemiology (618 citations), Pharmacology (73 citations) and Pathology and Forensic Medicine (135 citations). Subhash Agal has collaborated with scholars based in India. Frequent co-authors include Deepak Amarapurkar, Parijat Gupte, Nikhil D Patel, Rajiv Baijal, Anjali Amarapurkar, Dinesh Chaudhary, Anjali Deshpande, Nikhil Patel and Pravin Kumar. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Annals of Hepatology and PubMed.

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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