Sandesh Guleria

426 citations
42 papers · 272 indexed · h-index 10
Topics
Kawasaki Disease and Coronary Complications (11 papers)Coronary Artery Anomalies (7 papers)Cardiovascular Issues in Pregnancy (5 papers)
Partner nations
IndiaUnited KingdomJapan

In The Last Decade

Sandesh Guleria

40 papers receiving 262 citations

Peers

Sandesh Guleria
Comparison fields: 5 of 48
  • Surgery 172
  • Pulmonary and Respiratory Medicine 117
  • Rheumatology 58
  • Cardiology and Cardiovascular Medicine 40
  • Hematology 40
Replace Mohiuddin Cheema with:
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Daniele Mannina Italy
Cody Meissner United States
Kyung Lim Yoon South Korea
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Sandesh Guleria relative to Mohiuddin Cheema United States Mohiuddin Cheema's profile →
Citations per field
00.5×
Mohiuddin Cheema · 1×
Citations per year

Countries citing papers authored by Sandesh Guleria

Since Specialization
Citations

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

Fields of papers citing papers by Sandesh Guleria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandesh Guleria

This figure shows the co-authorship network connecting the top 25 collaborators of Sandesh Guleria. A scholar is included among the top collaborators of Sandesh Guleria based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sandesh Guleria. Sandesh Guleria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 5
5 18
6 10
7
Chronic non-bacterial osteomyelitis: a retrospective international study on clinical manifestations and response to treatment.
15
8 0
9 2
10 1
11 29
12 1
13 11
14 1
15 24
16 1
17 13
18 6
19 1
20
Pneumocystis carinii pneumonia: role of high resolution computed tomography.
2

About Sandesh Guleria

Sandesh Guleria is a scholar working on Rheumatology, Hematology and Parasitology, having authored 42 papers that have together received 272 indexed citations. Recurring topics across this work include Kawasaki Disease and Coronary Complications (11 papers), Coronary Artery Anomalies (7 papers) and Cardiovascular Issues in Pregnancy (5 papers). The work is most often cited by research in Surgery (172 citations), Rheumatology (58 citations) and Hematology (40 citations). Sandesh Guleria has collaborated with scholars based in India, United Kingdom and Japan. Frequent co-authors include Ankur Kumar Jindal, Surjit Singh, Rakesh Kumar Pilania, Amit Rawat, Deepti Suri, Pandiarajan Vignesh, Avinash Sharma, Kanika Arora, Anju Gupta and Surjit Singh. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken and Journal of Clinical Immunology.

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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