Andrew Cakana

5.2k citations
48 papers · 1.9k indexed · h-index 20
  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments 35
  • Oncology top 5%
    • Cancer Treatment and Pharmacology 11
    • Peptidase Inhibition and Analysis 7
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 5
    • Protein Degradation and Inhibitors 15
    • Amyloidosis: Diagnosis, Treatment, Outcomes 6
    • Cancer therapeutics and mechanisms 5
  • Nephrology top 10%
    • HIV/AIDS drug development and treatment 5

Andrew Cakana

48 papers receiving 1.8k citations

Peers

Andrew Cakana
Comparison fields: 5 of 69
  • Hematology 1.5k
  • Oncology 948
  • Genetics 299
  • Molecular Biology 1.4k
  • Nephrology 52
Replace María Teresa Cibeira with:
María Teresa Cibeira Spain
Dixie‐Lee Esseltine United States
Zvenyslava Masliak Poland
William Deraedt United States
Víctor H. Jiménez‐Zepeda Canada
Huaibao Feng United States
Nikolaos Kanellias Greece
Karthik Ramasamy United Kingdom
Sylvia Feyler United Kingdom
Himal Amin United States
Andrew Cakana relative to María Teresa Cibeira Spain María Teresa Cibeira's profile →
Citations per field
00.5×1.5×
María Teresa Cibeira · 1×
Citations per year

Countries citing papers authored by Andrew Cakana

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Cakana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20207
2 201730
3 20173
4 20163
5 20161
6 201619
7 2013150
8 201258
9 201239
10 201268
11 201287
12 20112
13 201137
14 20118
15 2010100
16 2010312
17 2009112
18 200813
19 2007199
20 200012

About Andrew Cakana

Andrew Cakana is a scholar working on Hematology, Oncology and Genetics, having authored 48 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (35 papers), Protein Degradation and Inhibitors (15 papers), Cancer Treatment and Pharmacology (11 papers), Peptidase Inhibition and Analysis (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Cancer therapeutics and mechanisms (5 papers) and HIV/AIDS drug development and treatment (5 papers). The work is most often cited by research in Hematology (1.5k citations), Oncology (948 citations) and Genetics (299 citations). Andrew Cakana has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Helgi van de Velde, William Deraedt, Jesús F. San Miguel, Paul G. Richardson, Ofer Shpilberg, Rudolf Schlag, Meletios Α. Dimopoulos, Martin Kropff, M. Bayssas and George Chen. Their work appears in journals such as Journal of Clinical Oncology, Blood and Cancer.

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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