Laxmi Silwal‐Pandit

1.2k total citations
21 papers, 800 citations indexed

About

Laxmi Silwal‐Pandit is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Laxmi Silwal‐Pandit has authored 21 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Cancer Research and 8 papers in Molecular Biology. Recurrent topics in Laxmi Silwal‐Pandit's work include Cancer Genomics and Diagnostics (8 papers), Breast Cancer Treatment Studies (7 papers) and Cancer-related Molecular Pathways (6 papers). Laxmi Silwal‐Pandit is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Breast Cancer Treatment Studies (7 papers) and Cancer-related Molecular Pathways (6 papers). Laxmi Silwal‐Pandit collaborates with scholars based in Norway, United States and Sweden. Laxmi Silwal‐Pandit's co-authors include Anne‐Lise Børresen‐Dale, Anita Langerød, Hans Kristian Moen Vollan, Suet‐Feung Chin, Carlos Caldas, David A. Quigley, Vessela N. Kristensen, Tomo Osako, Samuel Aparício and Oscar M. Rueda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Genes & Development.

In The Last Decade

Laxmi Silwal‐Pandit

19 papers receiving 793 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Laxmi Silwal‐Pandit Norway	13	420	404	367	175	87	21	800
Elisabetta Zulato Italy	16	342 0.8×	600 1.5×	492 1.3×	266 1.5×	93 1.1×	37	1.0k
Tomohiro Sakuma Japan	17	282 0.7×	356 0.9×	253 0.7×	213 1.2×	65 0.7×	23	796
Ira Kogan-Sakin Israel	13	447 1.1×	523 1.3×	261 0.7×	131 0.7×	51 0.6×	13	869
Sarab Lizard‐Nacol France	18	393 0.9×	627 1.6×	331 0.9×	261 1.5×	160 1.8×	33	1.1k
Lidia Rita Corsini Italy	19	381 0.9×	430 1.1×	323 0.9×	164 0.9×	146 1.7×	41	892
Kimberly B. Koenig United States	12	510 1.2×	245 0.6×	475 1.3×	203 1.2×	146 1.7×	15	855
Wei Wen Teo United States	12	284 0.7×	624 1.5×	451 1.2×	109 0.6×	61 0.7×	18	899
Lucy Gossage United Kingdom	10	258 0.6×	866 2.1×	526 1.4×	418 2.4×	71 0.8×	12	1.2k
Qianze Dong China	20	319 0.8×	895 2.2×	264 0.7×	201 1.1×	85 1.0×	39	1.2k
Spencer R. Rosario United States	12	402 1.0×	701 1.7×	419 1.1×	615 3.5×	32 0.4×	51	1.2k

Countries citing papers authored by Laxmi Silwal‐Pandit

Since Specialization

Citations

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

Fields of papers citing papers by Laxmi Silwal‐Pandit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laxmi Silwal‐Pandit. 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 Laxmi Silwal‐Pandit. The network helps show where Laxmi Silwal‐Pandit may publish in the future.

Co-authorship network of co-authors of Laxmi Silwal‐Pandit

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

All Works

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20 of 20 papers shown

Fleischer, Thomas, Mads H. Haugen, Laxmi Silwal‐Pandit, et al.. (2024). An integrated omics approach highlights how epigenetic events can explain and predict response to neoadjuvant chemotherapy and bevacizumab in breast cancer. Molecular Oncology. 18(8). 2042–2059. 3 indexed citations

Silwal‐Pandit, Laxmi, et al.. (2024). Preoperative profiles of plasma amino acids and derivatives distinguish periampullary cancer and benign disease. BMC Cancer. 24(1). 555–555.

Silwal‐Pandit, Laxmi, Henrik J. Johansson, Georgios Mermelekas, et al.. (2022). Proteome Analysis of Pancreatic Tumors Implicates Extracellular Matrix in Patient Outcome. Cancer Research Communications. 2(6). 434–446. 5 indexed citations

Haakensen, Vilde Drageset, Laxmi Silwal‐Pandit, Julian Hamfjord, et al.. (2022). Prognostic Significance of the Loss of Heterozygosity of KRAS in Early-Stage Lung Adenocarcinoma. Frontiers in Oncology. 12. 873532–873532. 3 indexed citations

Erdélyi, Katalin, Tamás Ditrói, Henrik J. Johansson, et al.. (2021). Reprogrammed transsulfuration promotes basal-like breast tumor progression via realigning cellular cysteine persulfidation. Proceedings of the National Academy of Sciences. 118(45). 60 indexed citations

Krüger, Kristi, Laxmi Silwal‐Pandit, Elisabeth Wik, et al.. (2021). Baseline microvessel density predicts response to neoadjuvant bevacizumab treatment of locally advanced breast cancer. Scientific Reports. 11(1). 3388–3388. 16 indexed citations

Lien, Tonje G., Xavier Tekpli, Laxmi Silwal‐Pandit, et al.. (2020). Immune phenotype of tumor microenvironment predicts response to bevacizumab in neoadjuvant treatment of ER‐positive breast cancer. International Journal of Cancer. 147(9). 2515–2525. 14 indexed citations

Mukhopadhyay, Utpal K., Sanjay Bansal, Austin Miller, et al.. (2019). TP53 Status as a Determinant of Pro- vs Anti-Tumorigenic Effects of Estrogen Receptor-Beta in Breast Cancer. JNCI Journal of the National Cancer Institute. 111(11). 1202–1215. 39 indexed citations

Höglander, Elen, Silje Nord, David C. Wedge, et al.. (2018). Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations. Genome Medicine. 10(1). 92–92. 18 indexed citations

10.

Euceda, Leslie R., Tonje H. Haukaas, Guro F. Giskeødegård, et al.. (2017). Evaluation of metabolomic changes during neoadjuvant chemotherapy combined with bevacizumab in breast cancer using MR spectroscopy. Metabolomics. 13(4). 24 indexed citations

11.

Østrup, Oľga, Vegar Johansen Dagenborg, Einar Andreas Rødland, et al.. (2017). Molecular signatures reflecting microenvironmental metabolism and chemotherapy-induced immunogenic cell death in colorectal liver metastases. Oncotarget. 8(44). 76290–76304. 25 indexed citations

12.

Halvorsen, Ann Rita, Laxmi Silwal‐Pandit, Leonardo A. Meza‐Zepeda, et al.. (2016). TP53 Mutation Spectrum in Smokers and Never Smoking Lung Cancer Patients. Frontiers in Genetics. 7. 85–85. 58 indexed citations

13.

Silwal‐Pandit, Laxmi, Anita Langerød, & Anne‐Lise Børresen‐Dale. (2016). TP53Mutations in Breast and Ovarian Cancer. Cold Spring Harbor Perspectives in Medicine. 7(1). a026252–a026252. 132 indexed citations

14.

Haugen, Mads H., Ole Christian Lingjærde, Marit Krohn, et al.. (2016). Abstract 3268: Proteomic response in breast cancer treated with neoadjuvant chemotherapy with and without bevacizumab: Reverse phase protein array (RPPA) results from NeoAva - a randomized phase II study. Cancer Research. 76(14_Supplement). 3268–3268. 3 indexed citations

15.

Samuel, Nardin, Ana Novokmet, Weili Li, et al.. (2016). Assessment ofTP53Polymorphisms andMDM2SNP309 in Premenopausal Breast Cancer Risk. Human Mutation. 38(3). 265–268. 5 indexed citations

16.

Silwal‐Pandit, Laxmi, Hege G. Russnes, Elin Borgen, et al.. (2015). The Sub-Cellular Localization of WRAP53 Has Prognostic Impact in Breast Cancer. PLoS ONE. 10(10). e0139965–e0139965. 17 indexed citations

17.

Pfister, Neil T., Kausik Regunath, Wen Zhou, et al.. (2015). Mutant p53 cooperates with the SWI/SNF chromatin remodeling complex to regulate VEGFR2 in breast cancer cells. Genes & Development. 29(12). 1298–1315. 114 indexed citations

18.

Engebraaten, Olav, Laxmi Silwal‐Pandit, Marit Krohn, et al.. (2015). Abstract P4-11-14: Molecular response in breast cancer treated with neoadjuvant chemotherapy with and without bevacizumab: Results from NeoAva - a randomized phase II study. Cancer Research. 75(9_Supplement). P4–11. 2 indexed citations

19.

Silwal‐Pandit, Laxmi, Hans Kristian Moen Vollan, Suet‐Feung Chin, et al.. (2014). TP53 Mutation Spectrum in Breast Cancer Is Subtype Specific and Has Distinct Prognostic Relevance. Clinical Cancer Research. 20(13). 3569–3580. 215 indexed citations

20.

Quigley, David A., Laxmi Silwal‐Pandit, Ruth Dannenfelser, et al.. (2014). Lymphocyte Invasion in IC10/Basal-Like Breast Tumors Is Associated with Wild-Type TP53. Molecular Cancer Research. 13(3). 493–501. 47 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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