Deepak Govil

44 papers receiving 522 citations

Peers

Deepak Govil
Comparison fields: 5 of 85
  • Microbiology 11
  • Molecular Medicine 56
  • Internal Medicine 40
  • Biochemistry 58
  • Critical Care and Intensive Care Medicine 48
Replace Giovanna Panarello with:
Giovanna Panarello Italy
Jean‐Luc Schmit France
Sami O. Simons Netherlands
C. Guillaumé France
Jin Young Oh South Korea
Fabian Dusse Germany
Ahmed Mukhtar Egypt
G Mombelli Switzerland
Rébecca Hamidfar-Roy France
Jason Ferreira United States
Deepak Govil relative to Giovanna Panarello Italy Giovanna Panarello's profile →
Citations per field
00.5×2.6×
Giovanna Panarello · 1×
Citations per year

Countries citing papers authored by Deepak Govil

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Govil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021148
2 200976
3
Efficacy and Safety of Tranexamic Acid in Control of Bleeding Following TKR: A Randomized Clinical Trial.
200963
4
Bone cement implantation syndrome: a report of four cases.
200925
5 201924
6 201721
7 201319
8 202017
9
Bone Cement Implantation Syndrome: A Report of Four Cases
200913
10 201711
11 201711
12 201310
13 201710
14 201910
15 20229
16 20179
17 20158
18 20176
19
Duodenal angiomyolipoma: a case report.
20075
20 20164

About Deepak Govil

Deepak Govil is a scholar working on Surgery, Epidemiology, Pulmonary and Respiratory Medicine, Oncology and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 538 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (7 papers), Liver Disease and Transplantation (6 papers), Esophageal and GI Pathology (5 papers), Colorectal Cancer Surgical Treatments (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers), COVID-19 Clinical Research Studies (4 papers), Organ Transplantation Techniques and Outcomes (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Microbiology (11 citations), Molecular Medicine (56 citations), Internal Medicine (40 citations), Biochemistry (58 citations) and Critical Care and Intensive Care Medicine (48 citations). Deepak Govil has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Nishkarsh Gupta, Narendra S. Choudhary, Arvinder S. Soin, Yatin Mehta, Rahul Pandit, Dhruva Chaudhry, Shashikala Sangle, Sachin Gupta, Athimalaipet V Ramanan and Ashish Gupta. Their work appears in journals such as Clinical Transplantation, Critical Care, Kidney International Reports, Indian Journal of Critical Care Medicine and Current Opinion in Critical Care.

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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