Ivan Pašić

1.0k citations
86 papers · 704 · h-index 14

Impact in

Papers in

Ivan Pašić

73 papers receiving 695 citations

Peers

Ivan Pašić
Comparison fields: 5 of 72
  • Hematology 323
  • Transplantation 33
  • Cancer Research 110
  • Genetics 62
  • Geriatrics and Gerontology 19
Replace Walid K. Rasheed with:
Walid K. Rasheed Saudi Arabia
Ying‐Wei Lin Japan
Ting-Nien Lin United States
Nan Young Lee South Korea
Tomoya Isobe Japan
Rina Nishii United States
Evelyn C. Nieves United States
Rebecca Evers United States
Shirley Kow Yin Kham Singapore
Ana Serra‐Caetano Portugal
Ivan Pašić relative to Walid K. Rasheed Saudi Arabia Walid K. Rasheed's profile →
Citations per field
00.5×2×3×4×4.8×
Walid K. Rasheed · 1×
Citations per year

Countries citing papers authored by Ivan Pašić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ivan Pašić Line = papers co-authored together Ivan Pašić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010137
2 201745
3 201430
4 202129
5 202229
6 202027
7 202020
8 202120
9 202017
10 202417
11 202116
12 202216
13 202115
14 202315
15 202314
16 200114
17 202112
18 202212
19 202111
20 202210

About Ivan Pašić

Ivan Pašić is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Transplantation, Oncology and Pediatrics, Perinatology and Child Health, having authored 86 papers that have together received 704 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (55 papers), Acute Lymphoblastic Leukemia research (24 papers), Acute Myeloid Leukemia Research (19 papers), Polyomavirus and related diseases (9 papers), Renal Transplantation Outcomes and Treatments (8 papers), Childhood Cancer Survivors' Quality of Life (7 papers), Cytomegalovirus and herpesvirus research (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (323 citations), Transplantation (33 citations), Cancer Research (110 citations), Genetics (62 citations) and Geriatrics and Gerontology (19 citations). Ivan Pašić has collaborated with scholars based in Canada, Sweden and Spain. Frequent co-authors include Jeffrey Howard Lipton, Jonas Mattsson, Fotios V. Michelis, Rajat Kumar, Arjun Law, Auro Viswabandya, Wilson Lam, Armin Gerbitz, David M. Malkin and Adam David Durbin. Their work appears in journals such as Transplantation and Cellular Therapy, European Journal Of Haematology, Bone Marrow Transplantation, British Journal of Haematology and Blood.

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.

Explore authors with similar magnitude of impact