Agne Paner

669 citations
32 papers · 474 · h-index 10

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis
    • CAR-T cell therapy research
    • Cancer Treatment and Pharmacology

Papers in

    • Multiple Myeloma Research and Treatments 23
    • Peptidase Inhibition and Analysis 9
    • Cancer Treatment and Pharmacology 2

Agne Paner

31 papers receiving 467 citations

Peers

Agne Paner
Comparison fields: 5 of 44
  • Hematology 267
  • Oncology 163
  • Molecular Biology 289
  • Genetics 36
  • Pathology and Forensic Medicine 27
Replace Xiaoqi Qin with:
Xiaoqi Qin China
Yaozhong Zhao China
PR Greipp United States
С. В. Семочкин Russia
Francesca Bonello Italy
Kathleen Colson United States
Evgeni Chubar Israel
Holly Lee Canada
Daisuke Ogiya Japan
Valentina Ivanova Russia
Agne Paner relative to Xiaoqi Qin China Xiaoqi Qin's profile →
Citations per field
00.5×1.5×2×2.3×
Xiaoqi Qin · 1×
Citations per year

Countries citing papers authored by Agne Paner

Since Specialization
Citations

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

Fields of papers citing papers by Agne Paner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020127
2 202085
3 201936
4 201535
5 202234
6 201430
7 202018
8 202011
9 202111
10 201810
11 202010
12 20187
13 20197
14 20216
15 20226
16 20185
17 20205
18 20205
19 20205
20 20093

About Agne Paner

Agne Paner is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Transplantation, having authored 32 papers that have together received 474 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (23 papers), Protein Degradation and Inhibitors (13 papers), Peptidase Inhibition and Analysis (9 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers), Chemotherapy-induced cardiotoxicity and mitigation (2 papers), Cancer Treatment and Pharmacology (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Hematology (267 citations), Oncology (163 citations), Molecular Biology (289 citations), Genetics (36 citations) and Pathology and Forensic Medicine (27 citations). Agne Paner has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Binod Dhakal, Pritesh Rajni Patel, Paul Gerard Guy Richardson, Parameswaran Venugopal, Joachim Gullbo, Jesús G. Berdeja, Eric Keith Rowinsky, Claudia E. Paba‐Prada, Ola Landgren and Stig T. Linder. Their work appears in journals such as Blood, Otology & Neurotology, Journal of Clinical Apheresis, Journal of Clinical Oncology and npj Genomic 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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