Tapas Goswami

897 total citations
49 papers, 648 citations indexed

About

Tapas Goswami is a scholar working on Materials Chemistry, Spectroscopy and Molecular Biology. According to data from OpenAlex, Tapas Goswami has authored 49 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Materials Chemistry, 20 papers in Spectroscopy and 12 papers in Molecular Biology. Recurrent topics in Tapas Goswami's work include Molecular Sensors and Ion Detection (15 papers), Advanced Nanomaterials in Catalysis (11 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Tapas Goswami is often cited by papers focused on Molecular Sensors and Ion Detection (15 papers), Advanced Nanomaterials in Catalysis (11 papers) and Advanced biosensing and bioanalysis techniques (9 papers). Tapas Goswami collaborates with scholars based in India, France and Canada. Tapas Goswami's co-authors include John Antoniou, Caroline N. Demers, Mauro Alini, Max Aebi, Gilles Beaudoin, Fackson Mwale, Sushil Kumar, James C. Iatridis, Franck Thétiot and K. Mohan Reddy and has published in prestigious journals such as The Science of The Total Environment, The Journal of Physical Chemistry B and Scientific Reports.

In The Last Decade

Tapas Goswami

43 papers receiving 634 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tapas Goswami India 15 263 188 183 182 130 49 648
Jong Min Kim South Korea 12 54 0.2× 167 0.9× 85 0.5× 16 0.1× 36 0.3× 35 557
Yousef M. Ahmed Egypt 15 101 0.4× 54 0.3× 44 0.2× 26 0.1× 61 0.5× 26 581
Stefanie Mädler Switzerland 12 33 0.1× 130 0.7× 80 0.4× 27 0.1× 230 1.8× 16 622
Lianyong Su China 15 15 0.1× 89 0.5× 147 0.8× 13 0.1× 38 0.3× 38 644
Lina Fang China 13 16 0.1× 163 0.9× 124 0.7× 29 0.2× 16 0.1× 37 489
Mushraf Hussain India 13 22 0.1× 130 0.7× 264 1.4× 7 0.0× 40 0.3× 24 453
Vadanasundari Vedarethinam China 11 8 0.0× 329 1.8× 195 1.1× 18 0.1× 359 2.8× 19 971
Jianglei Zhang China 13 10 0.0× 43 0.2× 96 0.5× 15 0.1× 40 0.3× 47 471
Dieter Faßler Germany 12 16 0.1× 55 0.3× 190 1.0× 5 0.0× 45 0.3× 63 610

Countries citing papers authored by Tapas Goswami

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Goswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapas Goswami

This figure shows the co-authorship network connecting the top 25 collaborators of Tapas Goswami. A scholar is included among the top collaborators of Tapas Goswami 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 Tapas Goswami. Tapas Goswami 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
1.
Kumar, Pramod, Ritesh Dubey, Franck Thétiot, et al.. (2025). Design principles for metal–organic receptors targeting optical recognition of Pd(ii) in environmental matrices. Journal of Materials Chemistry C. 13(23). 11562–11585. 1 indexed citations
2.
Dubey, Ritesh, et al.. (2025). Rapid reduction of nitrophenols using reusable magnetic h-BN/Ni-NiO nanocomposites. Journal of environmental chemical engineering. 13(5). 118533–118533. 1 indexed citations
3.
Layek, Samar, Tapas Goswami, Sushil Kumar, et al.. (2025). Intramolecular Hydrogen Bonding-Induced Navigation of Solid Forms through Solution Crystallization. Crystal Growth & Design. 25(21). 9425–9432.
4.
5.
Roy, Partha, et al.. (2025). Imidazo-phenanthroline based ratiometric optical sensing platform for cyanide and fluoride ions. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 338. 126123–126123.
6.
Sharma, Pooja, et al.. (2025). Facile development of NIR-active upconverting nanoparticles decorated over MoS2 nanosheets for antibiotic degradation. Journal of environmental chemical engineering. 13(6). 119403–119403.
7.
Thétiot, Franck, et al.. (2024). A pyridyl-benzimidazole based ruthenium(II) complex as optical sensor: Targeted cyanide detection and live cell imaging applications. Journal of Photochemistry and Photobiology A Chemistry. 453. 115610–115610. 9 indexed citations
8.
Dubey, Ritesh, et al.. (2024). Optical detection strategies for Ni(ii) ion using metal–organic chemosensors: from molecular design to environmental applications. Dalton Transactions. 53(43). 17409–17428. 4 indexed citations
9.
10.
Goswami, Tapas, et al.. (2024). Turn-on detection of Al3+ ions using quinoline-based tripodal probe: mechanistic investigation and live cell imaging applications. Analytical Methods. 16(29). 5022–5031. 6 indexed citations
11.
Heena, et al.. (2024). Designing a multifunctional AIE-active fluorescent Schiff base probe: sensitive heavy metal ion recognition and water-induced aggregation. New Journal of Chemistry. 48(40). 17423–17435. 2 indexed citations
12.
Sharma, Pooja, et al.. (2023). Development of low-cost copper nanoclusters for highly selective “turn-on” sensing of Hg2+ ions. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 297. 122697–122697. 19 indexed citations
13.
14.
Tripathi, Ankita, Tapas Goswami, Shrawan Kumar Trivedi, & Ravi Datta Sharma. (2021). A multi class random forest (MCRF) model for classification of small plant peptides. International Journal of Information Management Data Insights. 1(2). 100029–100029. 23 indexed citations
15.
Jankunas, Justin, et al.. (2010). Differential cross sections for H + D2→ HD(v′ = 2, j′ = 0,3,6,9) + D at center-of-mass collision energies of 1.25, 1.61, and 1.97 eV. Physical Chemistry Chemical Physics. 13(18). 8175–8179. 13 indexed citations
16.
Mwale, Fackson, Caroline N. Demers, Arthur J. Michalek, et al.. (2008). Evaluation of quantitative magnetic resonance imaging, biochemical and mechanical properties of trypsin‐treated intervertebral discs under physiological compression loading. Journal of Magnetic Resonance Imaging. 27(3). 563–573. 42 indexed citations
17.
Antoniou, John, Fackson Mwale, Caroline N. Demers, et al.. (2006). Quantitative Magnetic Resonance Imaging of Enzymatically Induced Degradation of the Nucleus Pulposus of Intervertebral Discs. Spine. 31(14). 1547–1554. 48 indexed citations
18.
Périé, Delphine, James C. Iatridis, Caroline N. Demers, et al.. (2005). Assessment of compressive modulus, hydraulic permeability and matrix content of trypsin-treated nucleus pulposus using quantitative MRI. Journal of Biomechanics. 39(8). 1392–1400. 61 indexed citations
19.
Antoniou, John, Caroline N. Demers, Gilles Beaudoin, et al.. (2004). Apparent diffusion coefficient of intervertebral discs related to matrix composition and integrity. Magnetic Resonance Imaging. 22(7). 963–972. 90 indexed citations
20.
Antoniou, John, Vincent Arlet, Tapas Goswami, Max Aebi, & Mauro Alini. (2001). Elevated Synthetic Activity in the Convex Side of Scoliotic Intervertebral Discs and Endplates Compared With Normal Tissues. Spine. 26(10). E198–E206. 45 indexed citations

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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