Roma Parikh

1.1k total citations
19 papers, 440 citations indexed

About

Roma Parikh is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Roma Parikh has authored 19 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Molecular Biology. Recurrent topics in Roma Parikh's work include Cancer Treatment and Pharmacology (4 papers), Lung Cancer Treatments and Mutations (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Roma Parikh is often cited by papers focused on Cancer Treatment and Pharmacology (4 papers), Lung Cancer Treatments and Mutations (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Roma Parikh collaborates with scholars based in Israel, United States and United Kingdom. Roma Parikh's co-authors include D. J. Richel, Christian Wülfing, Philippe Beuzeboc, Iman El‐Hariry, Frank Pétavy, Marc‐Oliver Grimm, Jean‐Pascal Machiels, Uwe Treiber, Marco R. de Groot and Cristina Oliva and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Oncogene.

In The Last Decade

Roma Parikh

17 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roma Parikh Israel 8 261 160 145 93 45 19 440
Nicole N. Davarpanah United States 13 223 0.9× 232 1.4× 140 1.0× 84 0.9× 18 0.4× 21 417
Jean Lopategui United States 13 209 0.8× 115 0.7× 121 0.8× 129 1.4× 38 0.8× 27 521
Cornelis J. van Groeningen Netherlands 7 257 1.0× 56 0.3× 95 0.7× 126 1.4× 40 0.9× 8 361
A. D. Seidman United States 12 270 1.0× 132 0.8× 99 0.7× 62 0.7× 19 0.4× 37 413
Mogens K. Boisen Denmark 13 261 1.0× 89 0.6× 79 0.5× 151 1.6× 21 0.5× 23 443
Paul Monk United States 11 228 0.9× 82 0.5× 167 1.2× 104 1.1× 9 0.2× 50 390
Audrey Simonaggio France 10 445 1.7× 48 0.3× 278 1.9× 104 1.1× 32 0.7× 23 567
Midhun Malla United States 10 196 0.8× 75 0.5× 86 0.6× 62 0.7× 20 0.4× 31 369
Matthew Chau Hsien Ng Singapore 14 199 0.8× 132 0.8× 170 1.2× 159 1.7× 9 0.2× 43 455
Stefano Cappio Italy 7 188 0.7× 77 0.5× 137 0.9× 37 0.4× 15 0.3× 12 310

Countries citing papers authored by Roma Parikh

Since Specialization
Citations

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

Fields of papers citing papers by Roma Parikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roma Parikh

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

All Works

19 of 19 papers shown
1.
2.
Afratis, Nikolaos A., Shivang Parikh, Roma Parikh, et al.. (2025). Biselective remodeling of the melanoma tumor microenvironment prevents metastasis and enhances immune activation in mouse models. Science Translational Medicine. 17(820). eadp3236–eadp3236. 1 indexed citations
3.
Parikh, Shivang, L. Thomas, Roma Parikh, et al.. (2024). Impairing hydrolase transport machinery prevents human melanoma metastasis. Communications Biology. 7(1). 574–574.
4.
Kivity, Shaye, et al.. (2024). The Longitudinal Incidence of Pericarditis in 1.6 Million Patients: A 20-Year Study. The American Journal of Cardiology. 223. 70–72. 1 indexed citations
5.
Parikh, Roma, Shivang Parikh, Rina Hemi, et al.. (2023). Seasonal AMH variability implies a positive effect of UV exposure on the deterioration of ovarian follicles. Steroids. 200. 109307–109307. 3 indexed citations
6.
Dror, Shani, Tamar Golan, Guy Shapira, et al.. (2023). Primary Melanoma miRNA Trafficking Induces Lymphangiogenesis. Journal of Investigative Dermatology. 143(9). 1788–1798.e7. 3 indexed citations
7.
Parikh, Roma, Oshrat E Tayer-Shifman, Oded Kimhi, et al.. (2022). Steroid treatment suppresses the CD4+ T-cell response to the third dose of mRNA COVID-19 vaccine in systemic autoimmune rheumatic disease patients. Scientific Reports. 12(1). 21056–21056. 5 indexed citations
8.
Tayer-Shifman, Oshrat E, Shelly Tartakover Matalon, Oded Kimhi, et al.. (2022). Immunogenicity and safety of the mRNA-based BNT162b2 vaccine in systemic autoimmune rheumatic diseases patients. Clinical Rheumatology. 41(12). 3879–3885. 7 indexed citations
9.
Netanely, Dvir, Roma Parikh, Hananya Vaknine, et al.. (2021). Classification of node-positive melanomas into prognostic subgroups using keratin, immune, and melanogenesis expression patterns. Oncogene. 40(10). 1792–1805. 14 indexed citations
10.
Sheinboim, Danna, Shivang Parikh, Roma Parikh, et al.. (2021). Slow Transcription of the 99a/let-7c/125b-2 Cluster Results in Differential MiRNA Expression and Promotes Melanoma Phenotypic Plasticity. Journal of Investigative Dermatology. 141(12). 2944–2956.e6. 5 indexed citations
11.
Agbarya, Abed, Tomer Ziv‐Baran, Orna Schwartz, et al.. (2021). Efficacy of the mRNA-Based BNT162b2 COVID-19 Vaccine in Patients with Solid Malignancies Treated with Anti-Neoplastic Drugs. Cancers. 13(16). 4191–4191. 33 indexed citations
12.
Golan, Tamar, Roma Parikh, Etai Jacob, et al.. (2019). Adipocytes sensitize melanoma cells to environmental TGF-β cues by repressing the expression of miR-211. Science Signaling. 12(591). 23 indexed citations
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15.
Johnston, Stephen R.D., Karen A. Gelmon, Xavier Pivot, et al.. (2011). Ongoing clinical development of lapatinib in HER2-positive (HER2+) metastatic breast cancer (MBC): An innovative approach to recruit patients in clinical studies.. Journal of Clinical Oncology. 29(15_suppl). TPS105–TPS105. 1 indexed citations
16.
Capri, Giuseppe, José Chang, Pierfranco Conté, et al.. (2009). An open-label expanded access study of lapatinib and capecitabine in patients with HER2-overexpressing locally advanced or metastatic breast cancer. Annals of Oncology. 21(3). 474–480. 64 indexed citations
17.
Wülfing, Christian, Jean‐Pascal Machiels, D. J. Richel, et al.. (2009). A single‐arm, multicenter, open‐label phase 2 study of lapatinib as the second‐line treatment of patients with locally advanced or metastatic transitional cell carcinoma. Cancer. 115(13). 2881–2890. 172 indexed citations
18.
Crown, John, H. A. Burris, Frances M. Boyle, et al.. (2008). Pooled analysis of diarrhea events in patients with cancer treated with lapatinib. Breast Cancer Research and Treatment. 112(2). 317–325. 75 indexed citations
19.
Crown, John, H. A. Burris, Frances M. Boyle, et al.. (2008). Pooled analysis of diarrhea events in patients with cancer treated with lapatinib. Breast Cancer Research and Treatment. 113(2). 409–410. 2 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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