Akash Deep

71 papers receiving 1.0k citations

Peers

Akash Deep
Comparison fields: 5 of 105
  • Nephrology 259
  • Critical Care and Intensive Care Medicine 96
  • Hepatology 155
  • Epidemiology 337
  • Emergency Medicine 77
Replace Peter Schellongowski with:
Peter Schellongowski Austria
Veit Phillip Germany
Dion Kramer United States
Borja Suberviola Spain
José Guerra France
Raja Ramachandran India
Yong‐Kwei Tsau Taiwan
José Castellote Spain
Khajohn Tiranathanagul Thailand
G Mombelli Switzerland
Akash Deep relative to Peter Schellongowski Austria Peter Schellongowski's profile →
Citations per field
00.5×2×3×3.6×
Peter Schellongowski · 1×
Citations per year

Countries citing papers authored by Akash Deep

Since Specialization
Citations

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

Fields of papers citing papers by Akash Deep

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000150
2 2016118
3 201363
4 201658
5 201742
6 201842
7
Clinical and microbiological profile of nosocomial infections in the pediatric intensive care unit (PICU).
200442
8 201731
9 201826
10 202025
11 201725
12 202123
13 202023
14 202223
15 202220
16 202020
17 201320
18 202219
19 202118
20 201415

About Akash Deep

Akash Deep is a scholar working on Hepatology, Surgery, Nephrology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (23 papers), Acute Kidney Injury Research (19 papers), Organ Transplantation Techniques and Outcomes (12 papers), Sepsis Diagnosis and Treatment (7 papers), Drug-Induced Hepatotoxicity and Protection (6 papers), Muscle and Compartmental Disorders (5 papers), Public-Private Partnership Projects (5 papers) and Public Procurement and Policy (5 papers). The work is most often cited by research in Nephrology (259 citations), Critical Care and Intensive Care Medicine (96 citations), Hepatology (155 citations), Epidemiology (337 citations) and Emergency Medicine (77 citations). Akash Deep has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Emma Alexander, Chulananda Goonasekera, Peter G. Pappas, Ildefonso Téllez, Beatriz Bustamante, Anil Dhawan, Joe Brierley, Yanzhong Wang, Abdel Douiri and Claire E. Stewart. Their work appears in journals such as Pediatric Nephrology, Pediatric Critical Care Medicine, Blood Purification, European Journal of Pediatrics and Pediatric Transplantation.

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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