Raman Verma

1.2k total citations
37 papers, 690 citations indexed

About

Raman Verma is a scholar working on Surgery, Infectious Diseases and Epidemiology. According to data from OpenAlex, Raman Verma has authored 37 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 11 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Raman Verma's work include Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (9 papers) and Colorectal Cancer Screening and Detection (4 papers). Raman Verma is often cited by papers focused on Tuberculosis Research and Epidemiology (10 papers), Mycobacterium research and diagnosis (9 papers) and Colorectal Cancer Screening and Detection (4 papers). Raman Verma collaborates with scholars based in United Kingdom, India and United States. Raman Verma's co-authors include Rakesh Sinha, Pranabashis Haldar, Gerrit Woltmann, Anne O’Garra, Christine M. Graham, Akul Singhania, Philippe Leissner, Marc Rodrigue, A. Rajesh and Karine Kaiser and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Raman Verma

34 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raman Verma United Kingdom 14 281 214 213 116 115 37 690
Jessica Pagé United States 17 148 0.5× 161 0.8× 113 0.5× 95 0.8× 54 0.5× 61 1000
Ngoc Thai United States 20 167 0.6× 357 1.7× 387 1.8× 142 1.2× 52 0.5× 50 1.1k
Laura Farrelly United Kingdom 13 304 1.1× 56 0.3× 217 1.0× 192 1.7× 92 0.8× 49 874
Feifan Xiao China 12 232 0.8× 94 0.4× 114 0.5× 133 1.1× 132 1.1× 43 1.1k
Chul‐Gyu Yoo South Korea 21 277 1.0× 190 0.9× 214 1.0× 175 1.5× 146 1.3× 60 1.2k
Brian P. Mulhall Australia 18 254 0.9× 138 0.6× 444 2.1× 262 2.3× 52 0.5× 40 1.2k
Sabine Allard Belgium 15 286 1.0× 39 0.2× 115 0.5× 86 0.7× 182 1.6× 52 655
Timothy Karnauchow Canada 9 408 1.5× 57 0.3× 441 2.1× 130 1.1× 52 0.5× 12 940
Steve Kamiza Malawi 20 124 0.4× 75 0.4× 226 1.1× 337 2.9× 206 1.8× 39 1.3k
Alexander Quaas United States 18 93 0.3× 145 0.7× 334 1.6× 104 0.9× 82 0.7× 87 1.1k

Countries citing papers authored by Raman Verma

Since Specialization
Citations

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

Fields of papers citing papers by Raman Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raman Verma

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

All Works

20 of 20 papers shown
1.
Kim, Jee Whang, Joshua Nazareth, Hemu Patel, et al.. (2024). Interferon-gamma release assay conversion after Mycobacterium tuberculosis exposure specifically associates with greater risk of progression to tuberculosis: A prospective cohort study in Leicester, UK. International Journal of Infectious Diseases. 141. 106982–106982. 1 indexed citations
2.
Bhardwaj, Nitin, et al.. (2024). Optimization of Wind Farm Layout using Genetic Algorithms. SHILAP Revista de lepidopterología. 581. 1024–1024. 1 indexed citations
3.
Kumar, Deepak, et al.. (2024). Secure and Collaborative Breast Cancer Detection Using Federated Learning. 1–4. 1 indexed citations
4.
Verma, Raman. (2023). The Human Side of Big Data: A Detailed Technical Analysis. 34. 2240–2244.
5.
Behl, Tapan, Tarapati Rana, Aayush Sehgal, et al.. (2022). Exploring the multifocal role of phytoconstituents as antidepressants. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 123. 110693–110693. 5 indexed citations
6.
Behl, Tapan, Aayush Sehgal, Monika Sachdeva, et al.. (2022). Postulating the possible cellular signalling mechanisms of antibody drug conjugates in Alzheimer's disease. Cellular Signalling. 102. 110539–110539. 16 indexed citations
7.
Tabone, Olivier, Raman Verma, Akul Singhania, et al.. (2021). Blood transcriptomics reveal the evolution and resolution of the immune response in tuberculosis. The Journal of Experimental Medicine. 218(10). 47 indexed citations
8.
Verma, Raman, et al.. (2020). An audit of local discrepancy rates in acute abdominal CT: does subspecialist reporting reduce discrepancy rates?. Clinical Radiology. 75(11). 879.e7–879.e11. 3 indexed citations
9.
Adapa, Sreedhar, et al.. (2020). Peritonitis from Facultative Anaerobic Gram-Negative Bacilli Likely due to Translocation of Bacteria from Gut in a Patient Undergoing Peritoneal Dialysis. Infectious Disease Reports. 12(1). 8376–8376. 3 indexed citations
10.
Martin, Christopher, David R. Jenkins, Jatinder S. Minhas, et al.. (2020). Socio-demographic heterogeneity in the prevalence of COVID-19 during lockdown is associated with ethnicity and household size: Results from an observational cohort study. EClinicalMedicine. 25. 100466–100466. 102 indexed citations
11.
Verma, Raman, Benjamin M. C. Swift, Jong‐Koo Lee, et al.. (2019). A novel high sensitivity bacteriophage based assay identifies low level M.tuberculosis bacteraemia in immunocompetent patients with active and incipient TB. Clinical Infectious Diseases. 4 indexed citations
12.
Singhania, Akul, Raman Verma, Christine M. Graham, et al.. (2018). A modular transcriptional signature identifies phenotypic heterogeneity of human tuberculosis infection. Nature Communications. 9(1). 2308–2308. 133 indexed citations
13.
14.
Stephenson, James A., et al.. (2016). Investigation of unprovoked venous thromboembolism: a case for a tempered approach?. Clinical Radiology. 71(10). 1005–1009. 1 indexed citations
15.
Wong, Matthew H., et al.. (2009). Radiopathological review of small bowel carcinoid tumours. Journal of Medical Imaging and Radiation Oncology. 53(1). 1–12. 7 indexed citations
16.
Sinha, Rakesh, P. Murphy, P C Hawker, et al.. (2008). Role of MRI in Crohn's disease. Clinical Radiology. 64(4). 341–352. 50 indexed citations
17.
Sinha, Rakesh, et al.. (2007). Multidetector row CT of small bowel tumours. Clinical Radiology. 62(7). 607–614. 13 indexed citations
18.
Sinha, Rakesh, Raman Verma, A. Rajesh, & C. J. Richards. (2006). Diagnostic value of multidetector row CT in rectal cancer staging: comparison of multiplanar and axial images with histopathology. Clinical Radiology. 61(11). 924–931. 42 indexed citations
19.
Sinha, Rakesh & Raman Verma. (2005). Multidetector row computed tomography in bowel obstruction. Part 1. Small bowel obstruction. Clinical Radiology. 60(10). 1058–1067. 19 indexed citations
20.
Verma, Raman, et al.. (2003). Does Reporting of Plain Chest Radiographs Affect the Immediate Management of Patients Admitted to a Medical Assessment Unit?. Clinical Radiology. 58(9). 719–722. 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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