Komal Mandleywala

108 total papers · 790 total citations
16 papers, 337 citations indexed

About

Komal Mandleywala is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Komal Mandleywala has authored 16 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Komal Mandleywala's work include Monoclonal and Polyclonal Antibodies Research (8 papers), HER2/EGFR in Cancer Research (6 papers) and Radiopharmaceutical Chemistry and Applications (6 papers). Komal Mandleywala is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), HER2/EGFR in Cancer Research (6 papers) and Radiopharmaceutical Chemistry and Applications (6 papers). Komal Mandleywala collaborates with scholars based in United States, Brazil and Australia. Komal Mandleywala's co-authors include Jason S. Lewis, Patrícia M. R. Pereira, Ashwin Ragupathi, Lukas M. Carter, Sophie Poty, Jeroen Goos, Dalya Abdel-Atti, Rosemery Membreno, Brian M. Zeglis and Wolfgang Scholz and has published in prestigious journals such as Nature Communications, Cancer Research and Clinical Cancer Research.

In The Last Decade

Komal Mandleywala

14 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
Komal Mandleywala	153	114	104	64	52	16	337
Jyoti Roy	87 0.6×	133 1.2×	130 1.3×	56 0.9×	102 2.0×	18	356
Thomas R. Dilling	186 1.2×	94 0.8×	117 1.1×	80 1.3×	46 0.9×	15	353
Aurélien Vidal	109 0.7×	79 0.7×	94 0.9×	39 0.6×	88 1.7×	27	369
Jana Kim	71 0.5×	62 0.5×	126 1.2×	69 1.1×	47 0.9×	25	311
René Raavé	190 1.2×	81 0.7×	84 0.8×	38 0.6×	76 1.5×	14	333
Jacob Pourat	203 1.3×	171 1.5×	162 1.6×	33 0.5×	34 0.7×	9	384
Adam Badar	104 0.7×	69 0.6×	111 1.1×	60 0.9×	35 0.7×	15	326
Gabriella Baio	118 0.8×	62 0.5×	131 1.3×	58 0.9×	30 0.6×	18	358
Fei Xie	164 1.1×	228 2.0×	122 1.2×	34 0.5×	52 1.0×	18	362
Zunyu Xiao	122 0.8×	101 0.9×	68 0.7×	101 1.6×	80 1.5×	23	388

Countries citing papers authored by Komal Mandleywala

Since Specialization

Citations

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

Fields of papers citing papers by Komal Mandleywala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Komal Mandleywala

This figure shows the co-authorship network connecting the top 25 collaborators of Komal Mandleywala. A scholar is included among the top collaborators of Komal Mandleywala 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 Komal Mandleywala. Komal Mandleywala 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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