Ranabir Majumder

608 citations
21 papers · 434 indexed · h-index 10
Topics
Phytochemistry and biological activity of medicinal plants (5 papers)Bioactive Compounds and Antitumor Agents (4 papers)Cancer, Hypoxia, and Metabolism (2 papers)
Partner nations
IndiaUnited StatesRussia

In The Last Decade

Ranabir Majumder

19 papers receiving 415 citations

Peers

Ranabir Majumder
Comparison fields: 5 of 83
  • Molecular Biology 153
  • Computational Theory and Mathematics 110
  • Plant Science 94
  • Organic Chemistry 54
  • Pharmacology 53
Replace Ahmed A. El‐Rashedy with:
Ahmed A. El‐Rashedy Egypt
Mohamed F. Abdelhameed Egypt
Pratap Parida India
Mark Tristan J. Quimque Philippines
Rasha M. Allam Egypt
Faris F. Aba Alkhayl Saudi Arabia
Sharuk L. Khan India
Dalia Elebeedy Egypt
Chunping Wan China
Sami Hamdoun Germany
Ranabir Majumder relative to Ahmed A. El‐Rashedy Egypt Ahmed A. El‐Rashedy's profile →
Citations per field
00.5×1.5×
Ahmed A. El‐Rashedy · 1×
Citations per year

Countries citing papers authored by Ranabir Majumder

Since Specialization
Citations

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

Fields of papers citing papers by Ranabir Majumder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranabir Majumder

This figure shows the co-authorship network connecting the top 25 collaborators of Ranabir Majumder. A scholar is included among the top collaborators of Ranabir Majumder 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 Ranabir Majumder. Ranabir Majumder 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
#WorkIndexed citations
1 0
2 0
3 3
4 7
5 5
6 11
7 2
8 36
9 7
10 1
11 10
12 41
13 19
14 84
15 87
16 67
17 11
18 29
19 8
20 4

About Ranabir Majumder

Ranabir Majumder is a scholar working on Toxicology, Molecular Medicine and Physiology, having authored 21 papers that have together received 434 indexed citations. Recurring topics across this work include Phytochemistry and biological activity of medicinal plants (5 papers), Bioactive Compounds and Antitumor Agents (4 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Toxicology (25 citations), Computational Theory and Mathematics (110 citations) and Pharmacology (53 citations). Ranabir Majumder has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Mahitosh Mandal, Piyali Basak, Chandan Kanta Das, Pratik Das, Samrat Paul, Indranil Banerjee, Bikash Chandra Jena, Subhayan Das, Pratap Parida and Pritam Roy. Their work appears in journals such as Biochemical Pharmacology, Experimental Cell Research and International Journal of Biological Macromolecules.

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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