Arnab Pramanik

49 total papers · 1.2k total citations
32 papers, 844 citations indexed

About

Arnab Pramanik is a scholar working on Molecular Biology, Ecology and Pollution. According to data from OpenAlex, Arnab Pramanik has authored 32 papers receiving a total of 844 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Ecology and 6 papers in Pollution. Recurrent topics in Arnab Pramanik's work include Microbial Community Ecology and Physiology (12 papers), Genomics and Phylogenetic Studies (10 papers) and Coastal wetland ecosystem dynamics (7 papers). Arnab Pramanik is often cited by papers focused on Microbial Community Ecology and Physiology (12 papers), Genomics and Phylogenetic Studies (10 papers) and Coastal wetland ecosystem dynamics (7 papers). Arnab Pramanik collaborates with scholars based in India, Australia and United States. Arnab Pramanik's co-authors include Joydeep Mukherjee, Maitree Bhattacharyya, Abhrajyoti Ghosh, Sohan Sengupta, Saubhik Haldar, Ujjal Kumar Mukhopadhyay, Anirban Bhattacharyya, Dhrubajyoti Chattopadhyay, Anindita Mitra and Somnath Mukherjee and has published in prestigious journals such as Applied and Environmental Microbiology, International Journal of Biological Macromolecules and Environmental Science and Pollution Research.

In The Last Decade

Arnab Pramanik

30 papers receiving 825 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Arnab Pramanik	272	264	226	165	133	32	844
Fortunato Palma Esposito	131 0.5×	375 1.4×	142 0.6×	104 0.6×	167 1.3×	35	947
María A. Cubitto	259 1.0×	185 0.7×	66 0.3×	151 0.9×	86 0.6×	31	716
Trello Beffa	271 1.0×	234 0.9×	135 0.6×	48 0.3×	71 0.5×	28	757
André Oliveira de Souza Lima	91 0.3×	369 1.4×	189 0.8×	53 0.3×	174 1.3×	50	815
Niall O’Leary	258 0.9×	317 1.2×	87 0.4×	96 0.6×	69 0.5×	38	727
Khalilah Abdul Khalil	286 1.1×	281 1.1×	115 0.5×	275 1.7×	99 0.7×	57	935
Huda Mahmoud	202 0.7×	161 0.6×	270 1.2×	38 0.2×	59 0.4×	43	794
Katalin Perei	364 1.3×	210 0.8×	150 0.7×	54 0.3×	79 0.6×	30	801
Haisheng Wang	220 0.8×	350 1.3×	75 0.3×	73 0.4×	168 1.3×	57	1.0k
María Isabel Estrada‐Alvarado	128 0.5×	247 0.9×	155 0.7×	51 0.3×	98 0.7×	36	906

Countries citing papers authored by Arnab Pramanik

Since Specialization

Citations

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

Fields of papers citing papers by Arnab Pramanik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnab Pramanik

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

All Works

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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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