Ivan Pašić
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in ⓘ
- Hematology 61
- Hematopoietic Stem Cell Transplantation 54
- Acute Myeloid Leukemia Research 20
- Chronic Myeloid Leukemia Treatments 9
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- Renal Transplantation Outcomes and Treatments 11
- Co-authors
- Jeffrey H. Lipton (50 shared papers)Jonas Mattsson (64 shared papers)Rajat Kumar (61 shared papers)Arjun Law (61 shared papers)Auro Viswabandya (61 shared papers)Fotios V. Michelis (63 shared papers)Adam D. Durbin (3 shared papers)David Malkin (4 shared papers)
In The Last Decade
Ivan Pašić
67 papers receiving 511 citations
Peers
Comparison fields: 5 of 72
- Hematology 238
- Transplantation 34
- Cancer Research 107
- Oncology 121
- Genetics 47
Countries citing papers authored by Ivan Pašić
This map shows the geographic impact of Ivan Pašić'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 Ivan Pašić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Pašić more than expected).
Fields of papers citing papers by Ivan Pašić
This network shows the impact of papers produced by Ivan Pašić. 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 Ivan Pašić. The network helps show where Ivan Pašić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Pašić, 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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 126 | |
| 2 | 2017 | 40 | |
| 3 | 2014 | 28 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2023 | 11 | |
| 12 | 2001 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2017 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2021 | 6 |
About Ivan Pašić
Ivan Pašić is a scholar working on Hematology, Transplantation, Geriatrics and Gerontology, Public Health, Environmental and Occupational Health and Genetics, having authored 80 papers that have together received 514 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (54 papers), Acute Lymphoblastic Leukemia research (25 papers), Acute Myeloid Leukemia Research (20 papers), Renal Transplantation Outcomes and Treatments (11 papers), Chronic Myeloid Leukemia Treatments (9 papers), Childhood Cancer Survivors' Quality of Life (9 papers), Polyomavirus and related diseases (7 papers) and Cytomegalovirus and herpesvirus research (6 papers). The work is most often cited by research in Hematology (238 citations), Transplantation (34 citations), Cancer Research (107 citations), Oncology (121 citations) and Genetics (47 citations). Ivan Pašić has collaborated with scholars based in Canada, Sweden and Spain. Frequent co-authors include Jeffrey H. Lipton, Jonas Mattsson, Rajat Kumar, Arjun Law, Auro Viswabandya, Fotios V. Michelis, Adam D. Durbin, David Malkin, Wilson Lam and Adam Shlien. Their work appears in journals such as European Journal Of Haematology, Transplantation and Cellular Therapy, Blood, Bone Marrow Transplantation 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.