Naresh Bumma

2.1k citations
70 papers · 557 · h-index 10

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Multiple Myeloma Research and Treatments 46
    • Chronic Myeloid Leukemia Treatments 7
    • Amyloidosis: Diagnosis, Treatment, Outcomes 16
    • Protein Degradation and Inhibitors 13

Naresh Bumma

62 papers receiving 545 citations

Peers

Naresh Bumma
Comparison fields: 5 of 51
  • Hematology 226
  • Oncology 266
  • Genetics 102
  • Nephrology 64
  • Molecular Biology 290
Replace Cindy Varga with:
Cindy Varga United States
Ghee Young Kwon South Korea
RA Kyle United States
J.J. Sotto France
Sosana Delimpasi Greece
Srinivas K. Tantravahi United States
Atsushi Shinagawa Japan
Josefina Galende Spain
Konstantinos Tsionos Greece
Tiffaney L. Vincent United States
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Citations per field
00.5×1.7×
Cindy Varga · 1×
Citations per year

Countries citing papers authored by Naresh Bumma

Since Specialization
Citations

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

Fields of papers citing papers by Naresh Bumma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020138
2 201780
3 201839
4 202337
5 202229
6 202127
7 201916
8 202112
9 202111
10 202210
11 20199
12 20159
13 20228
14 20228
15 20238
16 20226
17 20176
18 20196
19 20196
20 20235

About Naresh Bumma

Naresh Bumma is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Epidemiology, having authored 70 papers that have together received 557 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (46 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (16 papers), Protein Degradation and Inhibitors (13 papers), Peptidase Inhibition and Analysis (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Hematology (226 citations), Oncology (266 citations), Genetics (102 citations), Nephrology (64 citations) and Molecular Biology (290 citations). Naresh Bumma has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Jeffrey A. Zonder, Hans C. Lee, Seongho Kim, Abdullah Khan, Ulka N. Vaishampayan, Ghayathri Jeyakumar, Srinivas Devarakonda, Elisabeth I. Heath, Brenda Dickow and Yvonne A. Efebera. Their work appears in journals such as Blood, Journal of Clinical Oncology, Biology of Blood and Marrow Transplantation, HemaSphere and Journal of Clinical Medicine.

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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