Deepika Malik

524 total citations
17 papers, 423 citations indexed

About

Deepika Malik is a scholar working on Ophthalmology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Deepika Malik has authored 17 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ophthalmology, 8 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Deepika Malik's work include Retinal Diseases and Treatments (10 papers), Retinal and Optic Conditions (5 papers) and Retinal Development and Disorders (5 papers). Deepika Malik is often cited by papers focused on Retinal Diseases and Treatments (10 papers), Retinal and Optic Conditions (5 papers) and Retinal Development and Disorders (5 papers). Deepika Malik collaborates with scholars based in United States, Egypt and United Kingdom. Deepika Malik's co-authors include M. Cristina Kenney, Baruch D. Kuppermann, David S. Boyer, Javier Cáceres‐del‐Carpio, Claudio Ramírez, Marilyn Chwa, Shari R. Atilano, Nitin Udar, Anthony B. Nesburn and Michael V. Miceli and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Human Molecular Genetics.

In The Last Decade

Deepika Malik

16 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepika Malik United States 6 261 170 99 64 37 17 423
Javier Cáceres‐del‐Carpio United States 10 317 1.2× 203 1.2× 115 1.2× 78 1.2× 42 1.1× 22 501
Jane-Ming Lin Taiwan 12 181 0.7× 342 2.0× 247 2.5× 43 0.7× 60 1.6× 26 546
Frances Wu United States 9 252 1.0× 342 2.0× 136 1.4× 18 0.3× 77 2.1× 33 622
Anna Praidou Greece 10 102 0.4× 300 1.8× 135 1.4× 32 0.5× 19 0.5× 24 406
K Kigasawa Japan 13 390 1.5× 124 0.7× 78 0.8× 98 1.5× 14 0.4× 21 513
Naili Ma United States 8 213 0.8× 198 1.2× 89 0.9× 28 0.4× 75 2.0× 10 526
Lishi Su China 12 208 0.8× 167 1.0× 64 0.6× 17 0.3× 108 2.9× 16 436
E. Jacquemin France 12 202 0.8× 86 0.5× 36 0.4× 25 0.4× 46 1.2× 23 511
Ken Kumagai Japan 10 119 0.5× 94 0.6× 75 0.8× 34 0.5× 8 0.2× 37 317
J.L. Dufier France 12 208 0.8× 184 1.1× 61 0.6× 22 0.3× 19 0.5× 36 502

Countries citing papers authored by Deepika Malik

Since Specialization
Citations

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

Fields of papers citing papers by Deepika Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepika Malik

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

All Works

17 of 17 papers shown
1.
2.
Atilano, Shari R., Mithalesh Kumar Singh, Deepika Malik, et al.. (2022). Differential Epigenetic Status and Responses to Stressors between Retinal Cybrids Cells with African versus European Mitochondrial DNA: Insights into Disease Susceptibilities. Cells. 11(17). 2655–2655. 3 indexed citations
3.
Malik, Deepika, et al.. (2022). Crowd detection and analysis for surveillance videos using deep learning. AIP conference proceedings. 2424. 80001–80001.
4.
Cáceres‐del‐Carpio, Javier, Shari R. Atilano, Kevin Schneider, et al.. (2020). In vitro response and gene expression of human retinal Müller cells treated with different anti-VEGF drugs. Experimental Eye Research. 191. 107903–107903. 11 indexed citations
5.
Weiss, Stephanie J., et al.. (2019). A Case of Terson-Like Syndrome in a Patient with Viral Meningoencephalitis. SHILAP Revista de lepidopterología. 2019. 1–5. 4 indexed citations
6.
Kenney, M. Cristina, Marilyn Chwa, Javier Cáceres‐del‐Carpio, et al.. (2018). Effects of Anti-VEGF and ALG-1001 on Human Retinal Cells in vitro. 59(9). 771–771. 3 indexed citations
7.
Weiss, Stephanie J., et al.. (2018). Retinal and Preretinal Hemorrhages in a Patient Receiving Hyper-CVAD Chemotherapy for T-Cell Acute Lymphoblastic Leukemia. SHILAP Revista de lepidopterología. 2018. 1–4. 1 indexed citations
8.
Cáceres‐del‐Carpio, Javier, Deepika Malik, Mohamed Mohamed, et al.. (2016). EFFECTS OF ANTI-VEGF DRUGS ON CULTURED HUMAN RETINAL MULLER CELLS. UCL Discovery (University College London). 57(12). 5030–5030. 1 indexed citations
9.
Lin, Christine, Deepika Malik, Javier Cáceres‐del‐Carpio, et al.. (2015). Reactive Oxygen Species Levels in Human Retinal Pigment Epithelium Cells In vitro to anti-VEGF Agents: Ranibizumab, Bevacizumab, Aflibercept and Ziv-aflibercept. Investigative Ophthalmology & Visual Science. 56(7). 1518–1518. 2 indexed citations
10.
Atilano, Shari R., Deepika Malik, Marilyn Chwa, et al.. (2015). Mitochondrial DNA variants can mediate methylation status of inflammation, angiogenesis and signaling genes. Human Molecular Genetics. 24(16). 4491–4503. 49 indexed citations
11.
Cáceres‐del‐Carpio, Javier, Claudio Ramírez, Deepika Malik, et al.. (2014). Effects of Ranibizumab, Bevacizumab, Aflibercept and Ziv-aflibercept on Cultured Human Retinal Müller Cells. Investigative Ophthalmology & Visual Science. 55(13). 598–598. 1 indexed citations
12.
Malik, Deepika, et al.. (2014). Mitochondrial Membrane Potential Response of Retinal Pigment Epithelium Cells In Vitro to Anti-VEGF Agents: Ranibizumab, Bevacizumab, Aflibercept and Ziv-aflibercept. Investigative Ophthalmology & Visual Science. 55(13). 599–599. 1 indexed citations
13.
Malik, Deepika, Payam Falatoonzadeh, Javier Cáceres‐del‐Carpio, et al.. (2014). Human Retinal Transmitochondrial Cybrids with J or H mtDNA Haplogroups Respond Differently to Ultraviolet Radiation: Implications for Retinal Diseases. PLoS ONE. 9(6). e99003–e99003. 28 indexed citations
14.
Malik, Deepika, Javier Cáceres‐del‐Carpio, Claudio Ramírez, et al.. (2014). Safety profiles of anti-VEGF drugs: bevacizumab, ranibizumab, aflibercept and ziv-aflibercept on human retinal pigment epithelium cells in culture. British Journal of Ophthalmology. 98(Suppl 1). i11–i16. 103 indexed citations
15.
Bababeygy, Simon R., Deepika Malik, Javier Cáceres‐del‐Carpio, et al.. (2014). Safety Profile of Anti-VEGF Agents on Retinal Pigment Epithelium Cells: In Vitro Cell Viability. 55(13). 596–596. 2 indexed citations
16.
Kenney, M. Cristina, Marilyn Chwa, Shari R. Atilano, et al.. (2013). Mitochondrial DNA Variants Mediate Energy Production and Expression Levels for CFH, C3 and EFEMP1 Genes: Implications for Age-Related Macular Degeneration. PLoS ONE. 8(1). e54339–e54339. 84 indexed citations
17.
Kenney, M. Cristina, Marilyn Chwa, Shari R. Atilano, et al.. (2013). Molecular and bioenergetic differences between cells with African versus European inherited mitochondrial DNA haplogroups: Implications for population susceptibility to diseases. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1842(2). 208–219. 128 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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