Amit Kumar Mandal

80 total papers · 1.7k total citations
33 papers, 886 citations indexed

About

Amit Kumar Mandal is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Amit Kumar Mandal has authored 33 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Amit Kumar Mandal's work include Cancer Genomics and Diagnostics (4 papers), Cutaneous Melanoma Detection and Management (4 papers) and RNA and protein synthesis mechanisms (3 papers). Amit Kumar Mandal is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Cutaneous Melanoma Detection and Management (4 papers) and RNA and protein synthesis mechanisms (3 papers). Amit Kumar Mandal collaborates with scholars based in India, United Kingdom and United States. Amit Kumar Mandal's co-authors include Michael A. Koldobskiy, Raymond J. Deshaies, Craig M. Crews, Kathleen M. Sakamoto, John S. Schneekloth, Fabiana N. Fonseca, Mitali Mukerji, Rajesh Pandey, Richard Marais and Bhavana Prasher and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Amit Kumar Mandal

27 papers receiving 862 citations

Author Peers

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

Author						Papers	Cites
Amit Kumar Mandal	582	244	105	103	93	33	886
Jinxiang Han	409 0.7×	230 0.9×	45 0.4×	170 1.7×	23 0.2×	34	811
Doe Sun Na	706 1.2×	253 1.0×	24 0.2×	141 1.4×	58 0.6×	38	1.0k
Xiaoyan Lu	803 1.4×	125 0.5×	93 0.9×	199 1.9×	23 0.2×	38	1.0k
M. Kuwabara	440 0.8×	72 0.3×	44 0.4×	64 0.6×	66 0.7×	43	896
Yuyin Li	615 1.1×	280 1.1×	17 0.2×	118 1.1×	173 1.9×	50	977
Heyu Chen	274 0.5×	233 1.0×	24 0.2×	74 0.7×	79 0.8×	38	841
Mariola Sadowska	279 0.5×	384 1.6×	28 0.3×	83 0.8×	60 0.6×	28	789
Susanne Häfner	541 0.9×	184 0.8×	39 0.4×	77 0.7×	21 0.2×	38	997
Sumeer Dhar	448 0.8×	273 1.1×	14 0.1×	85 0.8×	38 0.4×	28	778
Jason Kang	681 1.2×	146 0.6×	114 1.1×	189 1.8×	18 0.2×	22	1.0k

Countries citing papers authored by Amit Kumar Mandal

Since Specialization

Citations

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

Fields of papers citing papers by Amit Kumar Mandal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amit Kumar Mandal. 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 Amit Kumar Mandal. The network helps show where Amit Kumar Mandal may publish in the future.

Co-authorship network of co-authors of Amit Kumar Mandal

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kumar Mandal. A scholar is included among the top collaborators of Amit Kumar Mandal 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 Amit Kumar Mandal. Amit Kumar Mandal 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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