Rajesh Rawal

7.3k total citations
3 papers, 78 citations indexed

About

Rajesh Rawal is a scholar working on Genetics, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rajesh Rawal has authored 3 papers receiving a total of 78 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Pathology and Forensic Medicine and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Rajesh Rawal's work include Nutrition, Genetics, and Disease (1 paper), Colorectal Cancer Screening and Detection (1 paper) and Genetic factors in colorectal cancer (1 paper). Rajesh Rawal is often cited by papers focused on Nutrition, Genetics, and Disease (1 paper), Colorectal Cancer Screening and Detection (1 paper) and Genetic factors in colorectal cancer (1 paper). Rajesh Rawal collaborates with scholars based in Germany, Sweden and Norway. Rajesh Rawal's co-authors include Justo Lorenzo Bermejo, Kari Hemminki, Angela Doering, Karin Halina Greiser, Henry Völzke, Karl Werdan, Bjørn Olav Åsvold, Christian Gieger, Thomas Illig and Georg Homuth and has published in prestigious journals such as Cancer, Human Molecular Genetics and International Journal of Cancer.

In The Last Decade

Rajesh Rawal

3 papers receiving 75 citations

Peers

Rajesh Rawal
FZ Stanczyk United States
M. Sevin Türkiye
NL Busaidy United States
Tasleema Patel United States
FZ Stanczyk United States
Rajesh Rawal
Citations per year, relative to Rajesh Rawal Rajesh Rawal (= 1×) peers FZ Stanczyk

Countries citing papers authored by Rajesh Rawal

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Rawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajesh Rawal

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

All Works

3 of 3 papers shown
1.
Rawal, Rajesh, Alexander Teumer, Henry Völzke, et al.. (2012). Meta-analysis of two genome-wide association studies identifies four genetic loci associated with thyroid function. Human Molecular Genetics. 21(14). 3275–3282. 31 indexed citations
2.
Hemminki, Kari, Rajesh Rawal, & Justo Lorenzo Bermejo. (2004). Prostate cancer screening, changing age‐specific incidence trends and implications on familial risk. International Journal of Cancer. 113(2). 312–315. 31 indexed citations
3.
Bermejo, Justo Lorenzo, Rajesh Rawal, & Kari Hemminki. (2004). Familial association of specific histologic types of ovarian malignancy with other malignancies. Cancer. 100(7). 1507–1514. 16 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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