Suchet Sachdev

36 papers receiving 354 citations

Peers

Suchet Sachdev
Comparison fields: 5 of 46
  • Management of Technology and Innovation 148
  • Hematology 90
  • Gastroenterology 32
  • Biochemistry 13
  • Genetics 14
Replace Farhat Abbas Bhatti with:
Farhat Abbas Bhatti Pakistan
Nuzhat Salamat Pakistan
Ambika Nanu India
Layla Bashawri Saudi Arabia
Omolade Augustina Awodu Nigeria
Dieter Klarmann Germany
Elisavet Grouzi Greece
M. Schiavoni Italy
M. J. Dijkstra‐Tiekstra Netherlands
Mariana Canaro Spain
Suchet Sachdev relative to Farhat Abbas Bhatti Pakistan Farhat Abbas Bhatti's profile →
Citations per field
00.5×5×10×13.3×
Farhat Abbas Bhatti · 1×
Citations per year

Countries citing papers authored by Suchet Sachdev

Since Specialization
Citations

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

Fields of papers citing papers by Suchet Sachdev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201482
2 201936
3 201233
4 201632
5 201424
6 202119
7 201915
8 201314
9 201712
10 201812
11 202210
12 20149
13 20158
14 20178
15 20177
16 20196
17 20185
18 20185
19 20195
20 20104

About Suchet Sachdev

Suchet Sachdev is a scholar working on Management of Technology and Innovation, Biochemistry, Infectious Diseases, Hematology and Physiology, having authored 44 papers that have together received 382 indexed citations. Recurring topics across this work include Blood donation and transfusion practices (21 papers), Blood transfusion and management (4 papers), Blood groups and transfusion (4 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Management of Technology and Innovation (148 citations), Hematology (90 citations), Gastroenterology (32 citations), Biochemistry (13 citations) and Genetics (14 citations). Suchet Sachdev has collaborated with scholars based in India, Singapore and France. Frequent co-authors include Neelam Marwaha, Ratti Ram Sharma, Hari Krishan Dhawan, Satyam Arora, Yogesh Kumar Chawla, Ajay Kumar. Duseja, Deepak Bansal, Ram Kumar Marwaha, Ajit Avasthi and Arnab Pal. Their work appears in journals such as Vox Sanguinis, The Indian Journal of Medical Research, Digestive and Liver Disease, Scientific Reports and European Journal of Pediatrics.

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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