Tufail Syed
- Epidemiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Paresh DandonaAhmad AljadaHusam GhanimPriya MohantyDevjit TripathySandeep DhindsaRajesh GargArindam Bandyopadhyay
- Topics
- NF-κB Signaling Pathways (4 papers)Peroxisome Proliferator-Activated Receptors (2 papers)Metabolism, Diabetes, and Cancer (2 papers)
- Journals
- CirculationAmerican Journal of Clinical NutritionThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Tufail Syed
13 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Epidemiology 796
- Endocrinology, Diabetes and Metabolism 697
- Molecular Biology 522
- Physiology 520
- Cardiology and Cardiovascular Medicine 443
Countries citing papers authored by Tufail Syed
This map shows the geographic impact of Tufail Syed'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 Tufail Syed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tufail Syed more than expected).
Fields of papers citing papers by Tufail Syed
This network shows the impact of papers produced by Tufail Syed. 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 Tufail Syed. The network helps show where Tufail Syed may publish in the future.
Co-authorship network of co-authors of Tufail Syed
This figure shows the co-authorship network connecting the top 25 collaborators of Tufail Syed. A scholar is included among the top collaborators of Tufail Syed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tufail Syed. Tufail Syed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | Economical Appraisal of Total Aflatoxin Level in the Poultry Feeds by Fourier Transform Infrared Spectroscopy | 5 |
| 3 | 31 | |
| 4 | 2 | |
| 5 | 128 | |
| 6 | 124 | |
| 7 | 333 | |
| 8 | 221 | |
| 9 | 497 | |
| 10 | 26 | |
| 11 | Elevation of Free Fatty Acids Induces Inflammation and Impairs Vascular Reactivity in Healthy Subjectsbreakdown → | 518 |
| 12 | 175 | |
| 13 | 30 |
About Tufail Syed
Tufail Syed is a scholar working on Cancer Research, Reproductive Medicine and Gastroenterology, having authored 13 papers that have together received 2.1k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (697 citations), Epidemiology (796 citations) and Physiology (520 citations). Tufail Syed has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Paresh Dandona, Ahmad Aljada, Husam Ghanim, Priya Mohanty, Devjit Tripathy, Sandeep Dhindsa, Rajesh Garg, Arindam Bandyopadhyay, Michael F. Wilson and David M. Janicke. Their work appears in journals such as Circulation, American Journal of Clinical Nutrition and The Journal of Clinical Endocrinology & Metabolism.
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.