Amit Gera

516 citations
7 papers · 377 · h-index 5

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Obstructive Sleep Apnea Research 1
    • Nasal Surgery and Airway Studies 1

Amit Gera

7 papers receiving 362 citations

Peers

Amit Gera
Comparison fields: 5 of 71
  • Hepatology 213
  • Pharmacology 126
  • Epidemiology 106
  • Surgery 79
  • Critical Care and Intensive Care Medicine 7
Replace Robert Tidswell with:
Robert Tidswell United Kingdom
T Zimmermann Germany
R H Lu Taiwan
C Gotheil France
Masahisa Toyohara Japan
Maha Elsabaawy Egypt
Christina C. Lindenmeyer United States
Frederik Nevens Belgium
Paola Casciato Argentina
Arjun Venkataramani United States
Amit Gera relative to Robert Tidswell United Kingdom Robert Tidswell's profile →
Citations per field
00.5×4.7×
Robert Tidswell · 1×
Citations per year

Countries citing papers authored by Amit Gera

Since Specialization
Citations

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

Fields of papers citing papers by Amit Gera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Amit Gera, 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 Amit Gera Line = papers co-authored together Amit Gera links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2013306
2 201124
3 200217
4 200013
5 200112
6 20123
7 20002

About Amit Gera

Amit Gera is a scholar working on Physiology, Surgery, Otorhinolaryngology, Management Information Systems and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 377 indexed citations. Recurring topics across this work include Advanced Queuing Theory Analysis (1 paper), Supply Chain and Inventory Management (1 paper), Nasal Surgery and Airway Studies (1 paper), Sinusitis and nasal conditions (1 paper), Cloud Computing and Resource Management (1 paper), Liver Disease and Transplantation (1 paper), Blood groups and transfusion (1 paper) and Obstructive Sleep Apnea Research (1 paper). The work is most often cited by research in Hepatology (213 citations), Pharmacology (126 citations), Epidemiology (106 citations), Surgery (79 citations) and Critical Care and Intensive Care Medicine (7 citations). Amit Gera has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Georg Auzinger, William Bernal, Mark McPhail, Vinod K. Audimoolam, Mohammed Rela, John G. O’Grady, Nigel Heaton, Julia Wendon, Roger Williams and Cathy H. Xia. Their work appears in journals such as Journal of Hepatology, Service Science, The Indian Journal of Pediatrics, British Journal of Hospital Medicine and The Journal of Otolaryngology.

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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