Jay Jagannathan

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

Impact in

Papers in

Jay Jagannathan

51 papers receiving 2.5k citations

Peers

Jay Jagannathan
Comparison fields: 5 of 92
  • Genetics 714
  • Endocrinology, Diabetes and Metabolism 950
  • Neurology 472
  • Surgery 1.2k
  • Pathology and Forensic Medicine 439
Replace Ari G. Chacko with:
Ari G. Chacko India
Varun R. Kshettry United States
Fred Gentili Canada
Mahmoud Messerer Switzerland
Roukoz Chamoun United States
Victor M. Lu United States
Pål Rønning Norway
Kesava Reddy Canada
Harry R. van Loveren United States
John Y. K. Lee United States
Jay Jagannathan relative to Ari G. Chacko India Ari G. Chacko's profile →
Citations per field
00.5×1.5×2.0×
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-authorship network

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
#Work
1 201234
2 2009112
3 200972
4 20091
5 200925
6 2009114
7 200820
8 200827
9 200884
10 200817
11 200816
12 20076
13 2007110
14 20073
15 200635
16 200620
17 200623
18 200620
19 200686
20 2005113

About Jay Jagannathan

Jay Jagannathan is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Neurology and Epidemiology, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (22 papers), Pituitary Gland Disorders and Treatments (19 papers), Meningioma and schwannoma management (18 papers), Spine and Intervertebral Disc Pathology (7 papers), Spinal Fractures and Fixation Techniques (7 papers), Brain Metastases and Treatment (6 papers), Head and Neck Surgical Oncology (6 papers) and Cerebrospinal fluid and hydrocephalus (5 papers). The work is most often cited by research in Genetics (714 citations), Endocrinology, Diabetes and Metabolism (950 citations), Neurology (472 citations), Surgery (1.2k citations) and Pathology and Forensic Medicine (439 citations). Jay Jagannathan has collaborated with scholars based in United States, Russia and Italy. 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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