Saurav Das

415 citations
21 papers · 48 · h-index 4

Impact in

Papers in

    • Acute Ischemic Stroke Management 5
    • Meningioma and schwannoma management 2
    • Breastfeeding Practices and Influences 2

Saurav Das

17 papers receiving 48 citations

Peers

Saurav Das
Comparison fields: 5 of 24
  • Internal Medicine 3
  • Epidemiology 26
  • Health Informatics 1
  • Neurology 9
  • Family Practice 1
Replace Sabine L. Collette with:
Sabine L. Collette Netherlands
Jorge Galván Spain
Mingxue Jing Singapore
Eva Hurtíková Czechia
М. А. Магомедов Russia
Viktor Weiss United States
Mohammad Almajali United States
Oje Imoukhuede United States
Arnaud Valent France
Eimad Shotar France
Saurav Das relative to Sabine L. Collette Netherlands Sabine L. Collette's profile →
Citations per field
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Citations per year

Countries citing papers authored by Saurav Das

Since Specialization
Citations

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

Fields of papers citing papers by Saurav Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202311
2 20207
3 20216
4 20204
5 20203
6 20192
7 20192
8 20142
9 20222
10 20192
11 20231
12 20201
13 20231
14 20221
15 19981
16 20211
17 20221
18 20190
19 20230
20 20240

About Saurav Das

Saurav Das is a scholar working on Epidemiology, Neurology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery, having authored 21 papers that have together received 48 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (5 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Acute Myocardial Infarction Research (2 papers), Meningioma and schwannoma management (2 papers), Breastfeeding Practices and Influences (2 papers), Peripheral Artery Disease Management (2 papers) and Gestational Diabetes Research and Management (1 paper). The work is most often cited by research in Internal Medicine (3 citations), Epidemiology (26 citations), Health Informatics (1 citation), Neurology (9 citations) and Family Practice (1 citation). Saurav Das has collaborated with scholars based in United States, Bangladesh and India. Frequent co-authors include Adam de Havenon, Diana Aguiar de Sousa, Thanh N. Nguyen, Eric Goldstein, Mehdi Abbasi, Ozan Akça, Shadi Yaghi, Kerri Remmel, David S. Liebeskind and Santiago Ortega‐Gutiérrez. Their work appears in journals such as Neurology, Stroke, Neurocase, Journal of the American College of Cardiology and International Journal of Hepatology.

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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