Vijay Kumar Anand

14.2k citations
283 papers · 10.9k · h-index 61

Impact in

Papers in

Vijay Kumar Anand

276 papers receiving 10.5k citations

Peers

Vijay Kumar Anand
Comparison fields: 5 of 151
  • Otorhinolaryngology 1.8k
  • Endocrinology, Diabetes and Metabolism 3.7k
  • Surgery 5.1k
  • Epidemiology 3.0k
  • Genetics 555
Replace Barry E. Hirsch with:
Barry E. Hirsch United States
Paul N. Manson United States
Louis C. Argenta United States
Ming‐Huei Cheng Taiwan
Gregory R. D. Evans United States
Harry J. Buncke United States
Patricia A. Hudgins United States
Jerzy Andrzej Walocha Poland
Rollin K. Daniel United States
Pietro Giovanoli Switzerland
Vijay Kumar Anand relative to Barry E. Hirsch United States Barry E. Hirsch's profile →
Citations per field
00.5×10×20×30×43.1×
Barry E. Hirsch · 1×
Citations per year

Countries citing papers authored by Vijay Kumar Anand

Since Specialization
Citations

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

Fields of papers citing papers by Vijay Kumar Anand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 283 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004330
2 2007329
3 2008301
4 2009295
5 2012251
6 2008231
7 2011208
8 2011196
9 2011186
10 2011177
11 2011167
12 2009160
13 2009136
14 2009132
15 2007128
16 2017120
17 2017116
18 2011111
19 2007110
20 2016110

About Vijay Kumar Anand

Vijay Kumar Anand is a scholar working on Endocrinology, Diabetes and Metabolism, Otorhinolaryngology, Surgery, Epidemiology and Cellular and Molecular Neuroscience, having authored 283 papers that have together received 10.9k indexed citations. Recurring topics across this work include Head and Neck Surgical Oncology (127 papers), Pituitary Gland Disorders and Treatments (81 papers), Meningioma and schwannoma management (57 papers), Sinusitis and nasal conditions (37 papers), Cerebrospinal fluid and hydrocephalus (18 papers), Bone Tumor Diagnosis and Treatments (13 papers), Nasal Surgery and Airway Studies (12 papers) and Ear Surgery and Otitis Media (9 papers). The work is most often cited by research in Otorhinolaryngology (1.8k citations), Endocrinology, Diabetes and Metabolism (3.7k citations), Surgery (5.1k citations), Epidemiology (3.0k citations) and Genetics (555 citations). Vijay Kumar Anand has collaborated with scholars based in United States, India and Egypt. Frequent co-authors include Theodore H. Schwartz, Abtin Tabaee, Ashutosh Kacker, Edward D. McCoul, Seth M. Brown, Ricardo J. Komotar, Daniel M. S. Raper, Robert M. Starke, Justin F. Fraser and Jeffrey P. Greenfield. Their work appears in journals such as Journal of neurosurgery, World Neurosurgery, The Laryngoscope, Operative Neurosurgery and 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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