Ramkumar Mandalam

1.1k citations
12 papers · 811 indexed · h-index 8

Impact in

Papers in

Ramkumar Mandalam

12 papers receiving 783 citations

Peers

Ramkumar Mandalam
Comparison fields: 5 of 80
  • Renewable Energy, Sustainability and the Environment 208
  • Hepatology 71
  • Hematology 85
  • Genetics 80
  • Molecular Biology 459
Replace M. Takagi with:
M. Takagi Japan
Julia Beckmann Germany
Xiaocui Bai China
Vinochani Pillay Australia
Caili Tong United States
Yunguang Li China
A. Helen Taylor United Kingdom
Vladimíra Moulisová Czechia
Sharath Belame Shivakumar South Korea
Wenxia Fan China
Ramkumar Mandalam relative to M. Takagi Japan M. Takagi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ramkumar Mandalam

Since Specialization
Citations

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

Fields of papers citing papers by Ramkumar Mandalam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201850
2 2007117
3 2005146
4 2005185
5 20027
6 200070
7 19999
8 1998194
9 19976
10 199519
11 19957
12
Nutritional effects in high density Chlorella vulgaris cultures.
19941

About Ramkumar Mandalam

Ramkumar Mandalam is a scholar working on Genetics, Renewable Energy, Sustainability and the Environment, Hematology, Ecology, Evolution, Behavior and Systematics and Hepatology, having authored 12 papers that have together received 811 indexed citations. Recurring topics across this work include Algal biology and biofuel production (5 papers), Mesenchymal stem cell research (4 papers), Pluripotent Stem Cells Research (3 papers), Biocrusts and Microbial Ecology (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Virus-based gene therapy research (1 paper), Aquatic Ecosystems and Phytoplankton Dynamics (1 paper) and Tissue Engineering and Regenerative Medicine (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (208 citations), Hepatology (71 citations), Hematology (85 citations), Genetics (80 citations) and Molecular Biology (459 citations). Ramkumar Mandalam has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Bernhard Ø. Palsson, Jane Lebkowski, Elisa Brunette, Sandra Powell, Yan Li, David C. Hay, Debiao Zhao, Wei Cui, Alan K. Smith and Susan J. Fisher. Their work appears in journals such as Biotechnology and Bioengineering, American Journal of Botany, Blood, Biotechnology Letters and Blood Advances.

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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