Jelena Bila
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 36
- Multiple Myeloma Research and Treatments 26
- Acute Myeloid Leukemia Research 5
- Oncology 25
- Peptidase Inhibition and Analysis 9
- Co-authors
- Darko Antić (31 shared papers)Biljana Mihaljević (25 shared papers)Milena Todorović (25 shared papers)Bosko Andjelic (19 shared papers)Jelena Jelicic (16 shared papers)Marion Moos (5 shared papers)Friedrich W. Cremer (5 shared papers)Claus R. Bartram (3 shared papers)
- Journals
- Medical Oncology (6 papers)Blood (4 papers)International Journal of Hematology (3 papers)Haematologica (2 papers)Annals of Hematology (2 papers)
- Partner nations
- SerbiaUnited StatesGermany
In The Last Decade
Jelena Bila
54 papers receiving 635 citations
Peers
Comparison fields: 5 of 58
- Hematology 336
- Genetics 187
- Internal Medicine 56
- Pathology and Forensic Medicine 187
- Oncology 206
Countries citing papers authored by Jelena Bila
This map shows the geographic impact of Jelena Bila'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 Jelena Bila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jelena Bila more than expected).
Fields of papers citing papers by Jelena Bila
This network shows the impact of papers produced by Jelena Bila. 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 Jelena Bila. The network helps show where Jelena Bila may publish in the future.
Co-authors
The 25 scholars most cited alongside Jelena Bila, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 77 | |
| 2 | 2005 | 74 | |
| 3 | 2016 | 56 | |
| 4 | 2019 | 55 | |
| 5 | 2016 | 32 | |
| 6 | 2008 | 26 | |
| 7 | 2015 | 25 | |
| 8 | 2015 | 23 | |
| 9 | 2005 | 19 | |
| 10 | 1998 | 16 | |
| 11 | 2017 | 13 | |
| 12 | 2015 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2011 | 11 | |
| 16 | 2016 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2010 | 9 | |
| 20 | 2014 | 9 |
About Jelena Bila
Jelena Bila is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 61 papers that have together received 644 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (26 papers), Lymphoma Diagnosis and Treatment (16 papers), Protein Degradation and Inhibitors (10 papers), Peptidase Inhibition and Analysis (9 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Acute Myeloid Leukemia Research (5 papers). The work is most often cited by research in Hematology (336 citations), Genetics (187 citations), Internal Medicine (56 citations), Pathology and Forensic Medicine (187 citations) and Oncology (206 citations). Jelena Bila has collaborated with scholars based in Serbia, United States and Germany. Frequent co-authors include Darko Antić, Biljana Mihaljević, Milena Todorović, Bosko Andjelic, Jelena Jelicic, Marion Moos, Friedrich W. Cremer, Claus R. Bartram, Anna Jauch and Hartmut Goldschmidt. Their work appears in journals such as Medical Oncology, Blood, International Journal of Hematology, Haematologica and Annals of Hematology.
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.