Sukriti Baweja

560 total citations
28 papers, 367 citations indexed

About

Sukriti Baweja is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Sukriti Baweja has authored 28 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hepatology, 12 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Sukriti Baweja's work include Liver Disease and Transplantation (12 papers), Liver Disease Diagnosis and Treatment (8 papers) and Extracellular vesicles in disease (4 papers). Sukriti Baweja is often cited by papers focused on Liver Disease and Transplantation (12 papers), Liver Disease Diagnosis and Treatment (8 papers) and Extracellular vesicles in disease (4 papers). Sukriti Baweja collaborates with scholars based in India, United States and France. Sukriti Baweja's co-authors include Shiv Kumar Sarin, Chhagan Bihari, Guresh Kumar, Mohammad Tauseef, Dolly Mehta, Bhagwati Joshi, Jagdish Chandra Joshi, Sheikh Rayees, Mumtaz Anwar and Sekhar P. Reddy and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Hepatology.

In The Last Decade

Sukriti Baweja

24 papers receiving 366 citations

Peers

Sukriti Baweja
Comparison fields: 5 of 71
  • Epidemiology 139
  • Hepatology 107
  • Molecular Biology 99
  • Immunology 76
  • Surgery 41
Replace Denise Clavijo‐Cornejo with:
Denise Clavijo‐Cornejo Mexico
Debora Bizzaro Italy
Holly Cline-Fedewa United States
Asmita Pant United States
Chenxuan Yang China
Mike A. Leonis United States
Carolina Moore United States
Atta Nawabi United States
Wenying Zhou China
Tokiko Ishida Japan
Denise Clavijo‐Cornejo Mexico View profile →
Citations per field, relative to Sukriti Baweja
Sukriti Baweja · 1×
Citations per year, relative to Sukriti Baweja
Sukriti Baweja · 1×

Countries citing papers authored by Sukriti Baweja

Since Specialization
Citations

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

Fields of papers citing papers by Sukriti Baweja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukriti Baweja

This figure shows the co-authorship network connecting the top 25 collaborators of Sukriti Baweja. A scholar is included among the top collaborators of Sukriti Baweja 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 Sukriti Baweja. Sukriti Baweja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 1
5 0
6 2
7 7
8 8
9 7
10 1
11 24
12 15
13 11
14 12
15 12
16 2
17 46
18 60
19 17
20 55

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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