Narendranath Epperla

3.7k citations
159 papers · 1.1k · h-index 18

Impact in

Papers in

Narendranath Epperla

141 papers receiving 1.1k citations

Peers

Narendranath Epperla
Comparison fields: 5 of 76
  • Pathology and Forensic Medicine 454
  • Genetics 248
  • Transplantation 52
  • Oncology 428
  • Hematology 105
Replace Jennifer R. Chapman with:
Jennifer R. Chapman United States
Mark A. Lones United States
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Walter Longo United States
Maurizio Musso Italy
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Citations per field
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Citations per year

Countries citing papers authored by Narendranath Epperla

Since Specialization
Citations

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

Fields of papers citing papers by Narendranath Epperla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Narendranath Epperla, 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 Narendranath Epperla Line = papers co-authored together Narendranath Epperla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 201749
3 201644
4 201836
5 202036
6 201430
7 201429
8 201727
9 201526
10 201726
11 201923
12 201821
13 202021
14 202121
15 202421
16 201921
17
Mirtazapine and mefloquine therapy for non-AIDS-related progressive multifocal leukoencephalopathy.
201421
18 202320
19 201717
20 202017

About Narendranath Epperla

Narendranath Epperla is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Immunology and Neurology, having authored 159 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (91 papers), Chronic Lymphocytic Leukemia Research (40 papers), CAR-T cell therapy research (34 papers), Viral-associated cancers and disorders (19 papers), CNS Lymphoma Diagnosis and Treatment (17 papers), Acute Lymphoblastic Leukemia research (14 papers), Immune Cell Function and Interaction (8 papers) and Multiple and Secondary Primary Cancers (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (454 citations), Genetics (248 citations), Transplantation (52 citations), Oncology (428 citations) and Hematology (105 citations). Narendranath Epperla has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Mehdi Hamadani, Walter Hanel, Timothy S. Fenske, William G. Hocking, Apoorva Jayarangaiah, Fergus McKiernan, Lisa Baumann Kreuziger, John L. Vaughn, Joseph J. Mazza and Nathan Denlinger. Their work appears in journals such as Blood, Blood Advances, Hematological Oncology, Clinical Medicine & Research and British Journal of Haematology.

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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