Sameer Jog
Impact in
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- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Intensive Care Unit Cognitive Disorders
- Nephrology top 5%
- Renal function and acid-base balance
Papers in
- Epidemiology 11
- Sepsis Diagnosis and Treatment 8
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- Respiratory Support and Mechanisms 8
- Co-authors
- Daniel De Backer (8 shared papers)Maurizio Cecconi (2 shared papers)Jean–Louis Teboul (2 shared papers)Massimo Antonelli (6 shared papers)Jozef Kesecioğlu (6 shared papers)Ignacio Martín‐Loeches (6 shared papers)Craig M. Coopersmith (6 shared papers)Judith Hellman (6 shared papers)
In The Last Decade
Sameer Jog
31 papers receiving 1.1k citations
Sameer Jog's Hit Papers
Peers
Comparison fields: 5 of 75
- Critical Care and Intensive Care Medicine 239
- Nephrology 100
- Emergency Medicine 96
- Anesthesiology and Pain Medicine 57
- Epidemiology 354
Countries citing papers authored by Sameer Jog
This map shows the geographic impact of Sameer Jog'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 Sameer Jog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sameer Jog more than expected).
Fields of papers citing papers by Sameer Jog
This network shows the impact of papers produced by Sameer Jog. 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 Sameer Jog. The network helps show where Sameer Jog may publish in the future.
Co-authors
The 25 scholars most cited alongside Sameer Jog, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fluid challenges in intensive care: the FENICE study Hit paper breakdown → | 2015 | 364 |
| 2 | 2018 | 194 | |
| 3 | 2018 | 87 | |
| 4 | 2018 | 73 | |
| 5 | 2019 | 62 | |
| 6 | 2020 | 49 | |
| 7 | 2021 | 48 | |
| 8 | 2021 | 37 | |
| 9 | 2020 | 31 | |
| 10 | 2020 | 25 | |
| 11 | 2016 | 24 | |
| 12 | 2014 | 19 | |
| 13 | 2011 | 17 | |
| 14 | 2020 | 13 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2019 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2015 | 4 |
About Sameer Jog
Sameer Jog is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Infectious Diseases, Surgery and Critical Care and Intensive Care Medicine, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (8 papers), Sepsis Diagnosis and Treatment (8 papers), COVID-19 Clinical Research Studies (5 papers), Hemodynamic Monitoring and Therapy (4 papers), Cardiac Arrest and Resuscitation (4 papers), Long-Term Effects of COVID-19 (3 papers), Malaria Research and Control (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (239 citations), Nephrology (100 citations), Emergency Medicine (96 citations), Anesthesiology and Pain Medicine (57 citations) and Epidemiology (354 citations). Sameer Jog has collaborated with scholars based in India, Spain and Belgium. Frequent co-authors include Daniel De Backer, Maurizio Cecconi, Jean–Louis Teboul, Massimo Antonelli, Jozef Kesecioğlu, Ignacio Martín‐Loeches, Craig M. Coopersmith, Judith Hellman, Flávia Ribeiro Machado and Mark Nunnally. Their work appears in journals such as Critical Care Medicine, Critical Care, Intensive Care Medicine Experimental, Intensive Care Medicine and CHEST Journal.
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.