Arjun Lal Kakrani

1.4k citations
50 papers · 847 indexed · h-index 14

Arjun Lal Kakrani

47 papers receiving 799 citations

Peers

Arjun Lal Kakrani
Comparison fields: 5 of 104
  • Internal Medicine 67
  • Infectious Diseases 324
  • Hepatology 76
  • Epidemiology 245
  • Cardiology and Cardiovascular Medicine 142
Replace Ponnudurai Kuperan with:
Ponnudurai Kuperan Singapore
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Citations per year

Countries citing papers authored by Arjun Lal Kakrani

Since Specialization
Citations

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

Fields of papers citing papers by Arjun Lal Kakrani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arjun Lal Kakrani. 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 Arjun Lal Kakrani. The network helps show where Arjun Lal Kakrani may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202415
3 20235
4 20233
5 20225
6 20200
7 201935
8 20191
9 20194
10
Glucose Monitoring in Critically Ill: Is Absence of "Stress Hyperglycemia" a Cause for Concern?
20191
11 201613
12
Clinical and nerve conduction study correlation in patients of diabetic neuropathy.
201440
13
Subdural haematoma in an adult due to hypernatraemia.
20141
14 20135
15 200864
16 200714
17 2007108
18 2006206
19
Disseminated pulmonary hydatid disease presenting as multiple cannon ball shadows in human immunodeficiency virus infection.
20005
20
Pancreatic fibrosis-calcification with diabetes in South Maharashtra, India.
19852

About Arjun Lal Kakrani

Arjun Lal Kakrani is a scholar working on Infectious Diseases, Hepatology and Epidemiology, having authored 50 papers that have together received 847 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 Clinical Research Studies (4 papers), Mycobacterium research and diagnosis (4 papers), Liver physiology and pathology (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Internal Medicine (67 citations), Infectious Diseases (324 citations) and Hepatology (76 citations). Arjun Lal Kakrani has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Medha Khandekar, Amita Gupta, Robert C. Bollinger, Jayagowri Sastry, Anuradha S. Tripathy, Vidya A. Arankalle, M. S. Chadha, Nikhil Gupte, Ramesh Bhosale and Uma Nayak. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.

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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