Aloma D’Souza

515 total citations
8 papers, 288 citations indexed

About

Aloma D’Souza is a scholar working on Oncology, Molecular Biology and Rheumatology. According to data from OpenAlex, Aloma D’Souza has authored 8 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Rheumatology. Recurrent topics in Aloma D’Souza's work include Osteoarthritis Treatment and Mechanisms (2 papers), Cancer Cells and Metastasis (2 papers) and RNA modifications and cancer (1 paper). Aloma D’Souza is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (2 papers), Cancer Cells and Metastasis (2 papers) and RNA modifications and cancer (1 paper). Aloma D’Souza collaborates with scholars based in United States, France and Switzerland. Aloma D’Souza's co-authors include Lori Otten, Nicholas P. Morris, Daniel Hartmann, Thomas Schmid, Daniel Uebelhart, Eugene J-M.A. Thonar, Kunihiro Masuda, Sanjiv S. Gambhir, Surya Murty and Gayatri Gowrishankar and has published in prestigious journals such as Nature Biotechnology, Cancer Research and Archives of Biochemistry and Biophysics.

In The Last Decade

Aloma D’Souza

8 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aloma D’Souza United States	6	104	80	67	52	42	8	288
Miriam Rothdiener Germany	10	92 0.9×	114 1.4×	84 1.3×	63 1.2×	19 0.5×	12	324
A. Khabut Sweden	8	167 1.6×	130 1.6×	33 0.5×	30 0.6×	66 1.6×	12	362
Zhengmao Lu China	12	50 0.5×	161 2.0×	83 1.2×	29 0.6×	31 0.7×	29	373
Juliane Heilig Germany	11	135 1.3×	145 1.8×	40 0.6×	44 0.8×	20 0.5×	21	340
Brigitte Tichy Austria	9	185 1.8×	66 0.8×	46 0.7×	21 0.4×	39 0.9×	15	345
Piao Zhao China	9	59 0.6×	194 2.4×	82 1.2×	28 0.5×	26 0.6×	26	398
Haizi Cheng United States	13	59 0.6×	218 2.7×	41 0.6×	32 0.6×	57 1.4×	25	444
Hong Jin China	8	52 0.5×	186 2.3×	78 1.2×	19 0.4×	66 1.6×	13	333
Laura Louzao-Martinez Netherlands	10	34 0.3×	132 1.6×	64 1.0×	23 0.4×	32 0.8×	11	302
Danielle Quincey France	8	38 0.4×	154 1.9×	97 1.4×	23 0.4×	31 0.7×	11	296

Countries citing papers authored by Aloma D’Souza

Since Specialization

Citations

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

Fields of papers citing papers by Aloma D’Souza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aloma D’Souza. 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 Aloma D’Souza. The network helps show where Aloma D’Souza may publish in the future.

Co-authorship network of co-authors of Aloma D’Souza

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lo, Hin Ching, Hana Choi, Kevin S. Kolahi, et al.. (2025). A 3D tumor spheroid model with robust T cell infiltration for evaluating immune cell engagers. iScience. 28(8). 112996–112996. 2 indexed citations

2.

Shi, Xu, Christos Gekas, Sakina Petiwala, et al.. (2024). Building a translational cancer dependency map for The Cancer Genome Atlas. Nature Cancer. 5(8). 1176–1194. 6 indexed citations

3.

Faivre, Emily J., Marybeth A. Pysz, Laura M. Kreckler, et al.. (2024). Abstract 3148: ABBV-706 is a novel SEZ6-targeted topoisomerase 1 inhibitor ADC for SCLC and other neuroendocrine cancers. Cancer Research. 84(6_Supplement). 3148–3148. 1 indexed citations

4.

Reilly, Regina M., Mark G. Anderson, Lora A. Tucker, et al.. (2023). Abstract 6311: ABBV-400: An ADC delivering a novel topoisomerase 1 inhibitor to c-Met-positive solid tumors. Cancer Research. 83(7_Supplement). 6311–6311. 7 indexed citations

5.

Aalipour, Amin, Hui-Yen Chuang, Surya Murty, et al.. (2019). Engineered immune cells as highly sensitive cancer diagnostics. Nature Biotechnology. 37(5). 531–539. 110 indexed citations

6.

Chang, Edwin, Christoph Pohling, Arutselvan Natarajan, et al.. (2015). AshwaMAX and Withaferin A inhibits gliomas in cellular and murine orthotopic models. Journal of Neuro-Oncology. 126(2). 253–264. 31 indexed citations

7.

Kamada, Hiroshi, et al.. (2002). Age-related differences in the accumulation and size of hyaluronan in alginate culture. Archives of Biochemistry and Biophysics. 408(2). 192–199. 21 indexed citations

8.

Masuda, Kunihiro, Aloma D’Souza, Lori Otten, et al.. (1996). Characterization of Crosslinked Collagens Synthesized by Mature Articular Chondrocytes Cultured in Alginate Beads: Comparison of Two Distinct Matrix Compartments. Experimental Cell Research. 225(1). 151–161. 110 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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