Sumit Das Lala

532 total citations
21 papers, 408 citations indexed

About

Sumit Das Lala is a scholar working on Biomedical Engineering, Biomaterials and Surgery. According to data from OpenAlex, Sumit Das Lala has authored 21 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biomedical Engineering, 10 papers in Biomaterials and 6 papers in Surgery. Recurrent topics in Sumit Das Lala's work include Bone Tissue Engineering Materials (12 papers), Orthopaedic implants and arthroplasty (6 papers) and Natural Fiber Reinforced Composites (5 papers). Sumit Das Lala is often cited by papers focused on Bone Tissue Engineering Materials (12 papers), Orthopaedic implants and arthroplasty (6 papers) and Natural Fiber Reinforced Composites (5 papers). Sumit Das Lala collaborates with scholars based in India. Sumit Das Lala's co-authors include Ashish B. Deoghare, Payel Deb, Emon Barua, Sushovan Chatterjee, Apurba Das, Pamu Dobbidi, John Deb Barma, Ajay Biswas, Anand Joshi and Dimple Shah and has published in prestigious journals such as Ceramics International, The Scientific World JOURNAL and Journal of Materials Engineering and Performance.

In The Last Decade

Sumit Das Lala

20 papers receiving 393 citations

Peers

Sumit Das Lala
Comparison fields: 5 of 64
  • Biomedical Engineering 271
  • Biomaterials 179
  • Surgery 67
  • Automotive Engineering 52
  • Materials Chemistry 51
Replace Arbind Prasad with:
Arbind Prasad India
Faisal Manzoor United Kingdom
Elnaz Tamjid Iran
Wendy Ortega-Lara Mexico
Pawan Kumar India
Sharifah Adzila Malaysia
Payel Deb India
Serbülent Türk Türkiye
Andreea Maidaniuc Romania
Amir Hayati Iran
Arbind Prasad India View profile →
Citations per field, relative to Sumit Das Lala
Sumit Das Lala · 1×
Citations per year, relative to Sumit Das Lala
Sumit Das Lala · 1×

Countries citing papers authored by Sumit Das Lala

Since Specialization
Citations

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

Fields of papers citing papers by Sumit Das Lala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Das Lala

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Das Lala. A scholar is included among the top collaborators of Sumit Das Lala 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 Sumit Das Lala. Sumit Das Lala 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 1
3 1
4 1
5 1
6 14
7 7
8 4
9 35
10 23
11 27
12 16
13 44
14 52
15 14
16 31
17 7
18 99
19 8
20 15

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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