Sumitra Mohan

1.9k total citations
18 papers, 661 citations indexed

About

Sumitra Mohan is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Sumitra Mohan has authored 18 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cancer Research, 12 papers in Oncology and 5 papers in Molecular Biology. Recurrent topics in Sumitra Mohan's work include Cancer Genomics and Diagnostics (15 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Lung Cancer Research Studies (5 papers). Sumitra Mohan is often cited by papers focused on Cancer Genomics and Diagnostics (15 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Lung Cancer Research Studies (5 papers). Sumitra Mohan collaborates with scholars based in United Kingdom, Austria and Netherlands. Sumitra Mohan's co-authors include Ellen Heitzer, Thomas Bauernhofer, Michael R. Speicher, Peter Ulz, Jochen B. Geigl, Dominic G. Rothwell, Ged Brady, Martina Auer, Caroline Dive and Francesca Chemi and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Bioinformatics.

In The Last Decade

Sumitra Mohan

18 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumitra Mohan United Kingdom 12 399 350 231 179 98 18 661
Julianna Supplee United States 9 485 1.2× 270 0.8× 334 1.4× 216 1.2× 121 1.2× 13 708
Sviatoslav M. Kendall United States 5 226 0.6× 684 2.0× 236 1.0× 229 1.3× 83 0.8× 6 966
Marissa S. Mattar United States 12 175 0.4× 313 0.9× 230 1.0× 290 1.6× 57 0.6× 22 666
Lucia Gelao Italy 11 203 0.5× 291 0.8× 110 0.5× 160 0.9× 66 0.7× 16 607
Elisa Gruppioni Italy 15 136 0.3× 216 0.6× 155 0.7× 274 1.5× 75 0.8× 56 703
María Laura Gutiérrez Spain 15 167 0.4× 195 0.6× 79 0.3× 145 0.8× 182 1.9× 30 496
Thomas A. Summers United States 12 150 0.4× 321 0.9× 75 0.3× 131 0.7× 186 1.9× 32 566
Carlo Alberto Giorgi Italy 12 175 0.4× 280 0.8× 112 0.5× 51 0.3× 58 0.6× 35 513
Joseph T. Ruggiero United States 6 241 0.6× 422 1.2× 151 0.7× 226 1.3× 16 0.2× 8 709

Countries citing papers authored by Sumitra Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Sumitra Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumitra Mohan

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

All Works

18 of 18 papers shown
1.
Chemi, Francesca, et al.. (2021). Early Dissemination of Circulating Tumor Cells: Biological and Clinical Insights. Frontiers in Oncology. 11. 672195–672195. 41 indexed citations
2.
Zhou, Qing, Samantha Perakis, Peter Ulz, et al.. (2020). Cell-free DNA analysis reveals POLR1D-mediated resistance to bevacizumab in colorectal cancer. Genome Medicine. 12(1). 20–20. 28 indexed citations
3.
Chemi, Francesca, Sumitra Mohan, & Ged Brady. (2019). Circulating Tumour Cells in Lung Cancer. Recent results in cancer research. 215. 105–125. 4 indexed citations
4.
Mohan, Sumitra, Mahmood Ayub, Dominic G. Rothwell, et al.. (2019). Analysis of circulating cell-free DNA identifies KRAS copy number gain and mutation as a novel prognostic marker in Pancreatic cancer. Scientific Reports. 9(1). 11610–11610. 43 indexed citations
5.
Mohan, Sumitra, Victoria Foy, Mahmood Ayub, et al.. (2019). Profiling of Circulating Free DNA Using Targeted and Genome-wide Sequencing in Patients with SCLC. Journal of Thoracic Oncology. 15(2). 216–230. 57 indexed citations
6.
Kim, Chang Sik, Sumitra Mohan, Mahmood Ayub, et al.. (2018). In silico error correction improves cfDNA mutation calling. Bioinformatics. 35(14). 2380–2385. 7 indexed citations
7.
8.
Mohan, Sumitra, Victoria Foy, Hui Sun Leong, et al.. (2018). Abstract 5602: Detection of circulating cell-free tumor DNA (ctDNA) in patients with small cell lung cancer (SCLC). Cancer Research. 78(13_Supplement). 5602–5602. 1 indexed citations
9.
Metcalf, Robert, Sumitra Mohan, Said Hilton, et al.. (2017). The application of liquid biopsies in metastatic salivary gland cancer to identify candidate therapeutic targets. Annals of Oncology. 28. vii8–vii8. 2 indexed citations
10.
Mohan, Sumitra, Francesca Chemi, & Ged Brady. (2017). Challenges and unanswered questions for the next decade of circulating tumour cell research in lung cancer. Translational Lung Cancer Research. 6(4). 454–472. 26 indexed citations
11.
Khan, Muzammil Ahmad, Sumitra Mohan, Muhammad Zubair, & Christian Windpassinger. (2016). Homozygosity mapping identified a novel protein truncating mutation (p.Ser100Leufs*24) of the BBS9 gene in a consanguineous Pakistani family with Bardet Biedl syndrome. BMC Medical Genetics. 17(1). 10–10. 12 indexed citations
12.
Belic, Jelena, Peter Ulz, Martina Auer, et al.. (2016). mFast-SeqS as a Monitoring and Pre-screening Tool for Tumor-Specific Aneuploidy in Plasma DNA. Advances in experimental medicine and biology. 924. 147–155. 23 indexed citations
13.
Ayub, Mahmood, Dominic G. Rothwell, Sumitra Mohan, et al.. (2016). A novel PCR error correction algorithm for cell-free DNA next generation sequencing data using high performance computing. European Journal of Cancer. 61. S186–S186. 1 indexed citations
14.
Belic, Jelena, Peter Ulz, Martina Auer, et al.. (2015). Rapid Identification of Plasma DNA Samples with Increased ctDNA Levels by a Modified FAST-SeqS Approach. Clinical Chemistry. 61(6). 838–849. 79 indexed citations
15.
Chudziak, Jakub, Deborah J. Burt, Sumitra Mohan, et al.. (2015). Clinical evaluation of a novel microfluidic device for epitope-independent enrichment of circulating tumour cells in patients with small cell lung cancer. The Analyst. 141(2). 669–678. 78 indexed citations
16.
Mohan, Sumitra, Ellen Heitzer, Peter Ulz, et al.. (2014). Changes in Colorectal Carcinoma Genomes under Anti-EGFR Therapy Identified by Whole-Genome Plasma DNA Sequencing. PLoS Genetics. 10(3). e1004271–e1004271. 134 indexed citations
17.
Konings, Joke, José W.P. Govers‐Riemslag, Helen Philippou, et al.. (2011). Factor XIIa regulates the structure of the fibrin clot independently of thrombin generation through direct interaction with fibrin. Blood. 118(14). 3942–3951. 107 indexed citations
18.
Yu, Wenjing, Ajay Pandita, Elicia Penuel, et al.. (2011). Exploratory biomarker analyses from OAM4558g: A placebo-controlled phase II study of erlotinib with or without MetMAb in patients with advanced non-small cell lung cancer (NSCLC).. Journal of Clinical Oncology. 29(15_suppl). 7529–7529. 12 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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