Niladri Mal

1.6k citations
19 papers · 1.2k · h-index 14

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Niladri Mal

19 papers receiving 1.2k citations

Peers

Niladri Mal
Comparison fields: 5 of 70
  • Genetics 459
  • Biomaterials 212
  • Cardiology and Cardiovascular Medicine 271
  • Surgery 466
  • Molecular Biology 371
Replace Eva Wärdell with:
Eva Wärdell Sweden
Solomon Yap United States
Matthew Kiedrowski United States
Hiroto Iwasaki Japan
Paul G. Stalboerger United States
Ruben Crespo‐Diaz United States
Lindsay Heyd United States
Lee‐Lee Ong Germany
Hiroko Miyatake Japan
Gill Adams United Kingdom
Niladri Mal relative to Eva Wärdell Sweden Eva Wärdell's profile →
Citations per field
00.5×1.5×2.3×
Eva Wärdell · 1×
Citations per year

Countries citing papers authored by Niladri Mal

Since Specialization
Citations

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

Fields of papers citing papers by Niladri Mal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2007364
2 2006215
3 200798
4 200698
5 200768
6 200656
7 200854
8 200853
9 200743
10 200538
11 200635
12 200529
13 200625
14 200615
15 20063
16 20072
17 20051
18 20051
19 20061

About Niladri Mal

Niladri Mal is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology, Genetics and Biomaterials, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (8 papers), Mesenchymal stem cell research (6 papers), Cardiovascular Effects of Exercise (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Pluripotent Stem Cells Research (2 papers), Cardiovascular Function and Risk Factors (2 papers), Congenital heart defects research (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Genetics (459 citations), Biomaterials (212 citations), Cardiology and Cardiovascular Medicine (271 citations), Surgery (466 citations) and Molecular Biology (371 citations). Niladri Mal has collaborated with scholars based in United States, India and Ukraine. Frequent co-authors include Marc S. Penn, Zoran Popović, Matthew Kiedrowski, Omer N. Koç, Kenneth R. Laurita, Arman T. Askari, Matthews Chacko, Ming Zhang, Farhad Forudi and William R. Mills. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Human Gene Therapy, The FASEB Journal, Heart Rhythm and Cell Transplantation.

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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