Vandna Shah

1.5k total citations
8 papers, 238 citations indexed

About

Vandna Shah is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Vandna Shah has authored 8 papers receiving a total of 238 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cancer Research, 4 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Vandna Shah's work include Cancer Genomics and Diagnostics (5 papers), Cancer-related Molecular Pathways (3 papers) and BRCA gene mutations in cancer (3 papers). Vandna Shah is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Cancer-related Molecular Pathways (3 papers) and BRCA gene mutations in cancer (3 papers). Vandna Shah collaborates with scholars based in United Kingdom and United States. Vandna Shah's co-authors include Frederic Festy, Laura Butler, Ruth M. Densham, Joanna R. Morris, Helen R Stone, Alexander J. Garvin, Daniel Weekes, James Beesley, Elinor J. Sawyer and Cheryl Gillett and has published in prestigious journals such as The EMBO Journal, Cancer Research and British Journal of Cancer.

In The Last Decade

Vandna Shah

8 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vandna Shah United Kingdom	6	172	95	76	46	39	8	238
Valeria Colicchia Italy	10	267 1.6×	151 1.6×	59 0.8×	62 1.3×	21 0.5×	12	335
Elna W. Moerland Netherlands	5	203 1.2×	64 0.7×	78 1.0×	94 2.0×	58 1.5×	6	288
Mara Colombo Italy	10	156 0.9×	36 0.4×	50 0.7×	118 2.6×	47 1.2×	15	250
Karina Miranda Santiago Brazil	7	71 0.4×	65 0.7×	51 0.7×	51 1.1×	21 0.5×	15	135
Maria Wehner Germany	6	87 0.5×	30 0.3×	56 0.7×	38 0.8×	62 1.6×	11	162
Raymond Che United States	8	275 1.6×	55 0.6×	70 0.9×	48 1.0×	17 0.4×	8	315
Zhibin Hu China	7	95 0.6×	36 0.4×	96 1.3×	21 0.5×	20 0.5×	8	172
Pragati Katiyar United States	5	155 0.9×	98 1.0×	42 0.6×	108 2.3×	29 0.7×	7	254
Bonnie Huor Canada	2	230 1.3×	57 0.6×	43 0.6×	9 0.2×	19 0.5×	2	268
R. D. Kennedy United States	3	108 0.6×	91 1.0×	62 0.8×	51 1.1×	22 0.6×	5	192

Countries citing papers authored by Vandna Shah

Since Specialization

Citations

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

Fields of papers citing papers by Vandna Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vandna Shah

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

All Works

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8 of 8 papers shown

1.

Shah, Vandna, Carolina Salinas-Souza, Tapsi Kumar, et al.. (2020). Abstract P4-07-04: Genomic analysis of paired DCIS and subsequent recurrence to assess clonal relatedness in screen detected DCIS. Cancer Research. 80(4_Supplement). P4–7. 3 indexed citations

2.

Shah, Vandna, Jelmar Quist, Carolina Salinas-Souza, et al.. (2020). Abstract P4-06-05: Heterogeneity of DCIS does not appear to be a biomarker for development of subsequent invasive cancer. Cancer Research. 80(4_Supplement). P4–6. 1 indexed citations

3.

Petridis, Christos, Vandna Shah, Charlotte Moss, et al.. (2019). Frequency of pathogenic germline variants in BRCA1, BRCA2, PALB2, CHEK2 and TP53 in ductal carcinoma in situ diagnosed in women under the age of 50 years. Breast Cancer Research. 21(1). 58–58. 15 indexed citations

4.

Petridis, Christos, Vandna Shah, Charlotte Moss, et al.. (2019). Frequency of Pathogenic Germline Variants in CDH1, BRCA2, CHEK2, PALB2, BRCA1, and TP53 in Sporadic Lobular Breast Cancer. Cancer Epidemiology Biomarkers & Prevention. 28(7). 1162–1168. 16 indexed citations

5.

Levi, Dina, Vandna Shah, Cheryl Gillett, et al.. (2018). MED12, TERT promoter and RBM15 mutations in primary and recurrent phyllodes tumours. British Journal of Cancer. 118(2). 277–284. 28 indexed citations

6.

Shah, Vandna, Dina Levi, Cheryl Gillett, et al.. (2017). PIK3CA mutations are common in lobular carcinoma in situ, but are not a biomarker of progression. Breast Cancer Research. 19(1). 7–7. 12 indexed citations

7.

Oliemuller, Erik, Naoko Kogata, Philip Bland, et al.. (2017). SOX11 promotes invasive growth and ductal carcinoma in situ progression. The Journal of Pathology. 243(2). 193–207. 31 indexed citations

8.

Butler, Laura, Ruth M. Densham, Alexander J. Garvin, et al.. (2012). The proteasomal de‐ubiquitinating enzyme POH1 promotes the double‐strand DNA break response. The EMBO Journal. 31(19). 3918–3934. 132 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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