Bicky Thapa

1.1k citations
59 papers · 652 · h-index 14

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 7
    • Cancer Immunotherapy and Biomarkers 6

Bicky Thapa

54 papers receiving 643 citations

Peers

Bicky Thapa
Comparison fields: 5 of 60
  • Internal Medicine 73
  • Hematology 143
  • Oncology 243
  • Genetics 68
  • Pathology and Forensic Medicine 78
Replace Jeremiah C. Boles with:
Jeremiah C. Boles United States
Konstantin Schlick Austria
Edward H. Ahn United States
Maurits L. van Montfoort Netherlands
Calogero Vetro Italy
Laurent Taillade France
Scott R Marshall United Kingdom
Miet Peeters Belgium
Kaoru Hatano Japan
E. Samantas Greece
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Citations per field
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Jeremiah C. Boles · 1×
Citations per year

Countries citing papers authored by Bicky Thapa

Since Specialization
Citations

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

Fields of papers citing papers by Bicky Thapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202192
2 202057
3 201845
4 202441
5 202240
6 201831
7 202230
8 202125
9 202123
10 202218
11 202117
12 202017
13 202116
14 201915
15 202414
16 202014
17 202013
18 201812
19 202311
20 202211

About Bicky Thapa

Bicky Thapa is a scholar working on Hematology, Oncology, Pulmonary and Respiratory Medicine, Genetics and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 652 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Protein Degradation and Inhibitors (5 papers), Brain Metastases and Treatment (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Internal Medicine (73 citations), Hematology (143 citations), Oncology (243 citations), Genetics (68 citations) and Pathology and Forensic Medicine (78 citations). Bicky Thapa has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Mehdi Hamadani, Manmeet Singh Ahluwalia, Adam Lauko, Hassan K. Awada, Vyshak Alva Venur, Paolo Fabrizio Caimi, Melhem Solh, Brad S. Kahl, Kirit M. Ardeshna and Carmelo Carlo‐Stella. Their work appears in journals such as American Journal of Therapeutics, Transplantation and Cellular Therapy, Prostate Cancer and Prostatic Diseases, JCO Precision Oncology and Cells.

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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