H. Rupani

7 papers receiving 1.4k citations

H. Rupani's Hit Papers

Differences in B cell growth phenotype reflect novel patterns of Epstein‐Barr virus latent gene expression in Burkitt's lymphoma cells. 1987 · 630 citations
6300+13+26Years since publication200400600

Peers

H. Rupani
Comparison fields: 5 of 55
  • Oncology 1.3k
  • Pathology and Forensic Medicine 725
  • Infectious Diseases 438
  • Immunology 354
  • Rheumatology 131
Replace D Liebowitz with:
D Liebowitz United States
Rosemary J. Tierney United Kingdom
F Wang United States
G. W. Bornkamm France
Wendy A. Thomas United Kingdom
S Imai Japan
Daniel Clark United States
Ruth J. Murray United Kingdom
Robert H. Sadler United States
Fritz M. Schwarzmann Germany
H. Rupani relative to D Liebowitz United States D Liebowitz's profile →
Citations per field
00.5×1.5×2×2.3×
D Liebowitz · 1×
Citations per year

Countries citing papers authored by H. Rupani

Since Specialization
Citations

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

Fields of papers citing papers by H. Rupani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H. Rupani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with H. Rupani Line = papers co-authored together H. Rupani links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Differences in B cell growth phenotype reflect novel patterns of Epstein‐Barr virus latent gene expression in Burkitt's lymphoma cells.
Hit paper breakdown →
1987630
2 1988436
3 1987183
4 1985102
5 1986100
6 198615
7
PANOBINOSTAT HAS ACTIVITY IN TREATMENT-REFRACTORY HODGKIN LYMPHOMA
20093

About H. Rupani

H. Rupani is a scholar working on Pathology and Forensic Medicine, Oncology, Rheumatology, Infectious Diseases and Genetics, having authored 7 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (6 papers), Eosinophilic Disorders and Syndromes (3 papers), Parvovirus B19 Infection Studies (2 papers), Chronic Lymphocytic Leukemia Research (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Oncology (1.3k citations), Pathology and Forensic Medicine (725 citations), Infectious Diseases (438 citations), Immunology (354 citations) and Rheumatology (131 citations). H. Rupani has collaborated with scholars based in United Kingdom, Kenya and France. Frequent co-authors include Lawrence S. Young, Alan B. Rickinson, Martin Rowe, Christopher D. Gregory, Paul J. Farrell, David Rowe, A. B. Rickinson, Thomas Tursz, Daniel Clark and Pierre Busson. Their work appears in journals such as Journal of General Virology, International Journal of Cancer, The EMBO Journal, Cellular Immunology and JNCI Journal of the National Cancer Institute.

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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