Jay Jagannathan

3.8k citations
52 papers · 2.6k · h-index 28

Impact in

Papers in

Jay Jagannathan

51 papers receiving 2.5k citations

Peers

Jay Jagannathan
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 872
  • Genetics 447
  • Neurology 376
  • Surgery 783
  • Pathology and Forensic Medicine 224
Replace Ari G. Chacko with:
Ari G. Chacko India
Fred Gentili Canada
Mahmoud Messerer Switzerland
Raffaele Giubbini Italy
U. Cremerius Germany
Pål Rønning Norway
Roukoz Chamoun United States
Pablo F. Recinos United States
Xiao‐Quan Xu China
Boris Krischek Germany
Jay Jagannathan relative to Ari G. Chacko India Ari G. Chacko's profile →
Citations per field
00.5×1.5×2.1×
Ari G. Chacko · 1×
Citations per year

Countries citing papers authored by Jay Jagannathan

Since Specialization
Citations

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

Fields of papers citing papers by Jay Jagannathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007175
2 2007146
3 2009136
4 2009119
5 2009117
6 2005112
7 2009112
8 2009111
9 2007111
10 2009107
11 2008102
12 200686
13 200885
14 200884
15 200882
16 200778
17 200971
18 200771
19 200956
20 200752

About Jay Jagannathan

Jay Jagannathan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Epidemiology and Neurology, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (17 papers), Glioma Diagnosis and Treatment (14 papers), Meningioma and schwannoma management (13 papers), Brain Metastases and Treatment (6 papers), Head and Neck Surgical Oncology (5 papers), Spinal Fractures and Fixation Techniques (4 papers), Spine and Intervertebral Disc Pathology (4 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (872 citations), Genetics (447 citations), Neurology (376 citations), Surgery (783 citations) and Pathology and Forensic Medicine (224 citations). Jay Jagannathan has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include John A. Jane, Jason P. Sheehan, Edward R. Laws, Nader Pouratian, Aaron S. Dumont, Daniel M. Prevedello, Ladislau Steiner, Christopher I. Shaffrey, Mary Lee Vance and Rod J. Oskouian. Their work appears in journals such as Journal of neurosurgery, Neurosurgical FOCUS, Neurosurgery, Journal of Neuro-Oncology and Journal of Neurosurgery Spine.

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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