Parmod Kumar

474 citations
45 papers · 307 · h-index 9

Impact in

Papers in

Parmod Kumar

35 papers receiving 286 citations

Peers

Parmod Kumar
Comparison fields: 5 of 66
  • Anesthesiology and Pain Medicine 46
  • Surgery 131
  • Developmental Neuroscience 8
  • Clinical Psychology 39
  • Modeling and Simulation 7
Replace Toni Musiello with:
Toni Musiello Australia
Kathrin Gerbershagen Germany
Dariusz Timler Poland
Goran Rondović Serbia
G. Conte Italy
Ahmad Farooqi United States
Varuna Vyas India
Rebecca L. Hartley Canada
James M. Economides United States
Lopa Misra United States
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Citations per field
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Citations per year

Countries citing papers authored by Parmod Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Parmod Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200558
2 197053
3 202034
4 201828
5 202022
6 201014
7 201611
8 201310
9 20179
10
Distress in wives of patients with psychosexual dysfunction : an exploratory study.
19998
11 20217
12 20206
13 20176
14 20115
15
Impact of COVID-19 Pandemic on Oncology Practices During Nationwide Lockdown Period: A Single Centre Experience and the Way Forward.
20205
16
Pattern and frequency of substance abuse in urban population of Lucknow
20083
17 20173
18 20242
19 20132
20 20242

About Parmod Kumar

Parmod Kumar is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Clinical Psychology, Anesthesiology and Pain Medicine and Oncology, having authored 45 papers that have together received 307 indexed citations. Recurring topics across this work include Anesthesia and Pain Management (8 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Anesthesia and Sedative Agents (5 papers), COVID-19 and Mental Health (4 papers), Nausea and vomiting management (3 papers), Anesthesia and Neurotoxicity Research (3 papers), Airway Management and Intubation Techniques (3 papers) and Emotional Intelligence and Performance (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (46 citations), Surgery (131 citations), Developmental Neuroscience (8 citations), Clinical Psychology (39 citations) and Modeling and Simulation (7 citations). Parmod Kumar has collaborated with scholars based in India, United States and Nepal. Frequent co-authors include A Rudra, Ajit Avasthi, Ritu Sharma, Om Prakash Singh, Swapnajeet Sahoo, Gautam Saha, Aseem Mehra, Sandeep Grover, Deepak Sundriyal and Mahesh Gowda. Their work appears in journals such as Journal of Clinical Oncology, Anesthesia & Analgesia, BMJ Open Respiratory Research, JCO Global Oncology and The Indian Journal of Medical Research.

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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