Nedjad Losic

2.3k citations
23 papers · 871 indexed · h-index 10

Impact in

Papers in

Nedjad Losic

22 papers receiving 856 citations

Peers

Nedjad Losic
Comparison fields: 5 of 46
  • Genetics 547
  • Pathology and Forensic Medicine 551
  • Hematology 168
  • Immunology 304
  • Radiology, Nuclear Medicine and Imaging 243
Replace Timothy J. Murphy with:
Timothy J. Murphy United States
Myriam Mendila Germany
Michael Pearson United States
Guiyuan Lei United Kingdom
Paul Moreton United Kingdom
John N. Allan United States
Kathryn Humphrey United Kingdom
Ruth de Tute United Kingdom
Theodora Papadaki Greece
Matthew Ku Australia
Nedjad Losic relative to Timothy J. Murphy United States Timothy J. Murphy's profile →
Citations per field
00.5×
Timothy J. Murphy · 1×
Citations per year

Countries citing papers authored by Nedjad Losic

Since Specialization
Citations

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

Fields of papers citing papers by Nedjad Losic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20232
4 20232
5 20226
6 20225
7 20214
8 20214
9 20182
10 201726
11 20176
12 201663
13 20152
14 201030
15 2010413
16 201013
17 201016
18 20093
19 200835
20 19972

About Nedjad Losic

Nedjad Losic is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 871 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Peptidase Inhibition and Analysis (4 papers), Multiple Myeloma Research and Treatments (4 papers), Neuroblastoma Research and Treatments (4 papers) and Immunodeficiency and Autoimmune Disorders (3 papers). The work is most often cited by research in Genetics (547 citations), Pathology and Forensic Medicine (551 citations), Hematology (168 citations), Immunology (304 citations) and Radiology, Nuclear Medicine and Imaging (243 citations). Nedjad Losic has collaborated with scholars based in United States, Denmark and Belgium. Frequent co-authors include Tadeusz Robak, Andrzej Hellmann, Randy Davis, Magdalena Piotrowska, Stephan Stilgenbauer, Peter Hillmen, Thomas J. Kipps, Tomáš Kozák, Geoffrey Chan and Martin J.S. Dyer. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Oncology, Clinical Pharmacokinetics and Cancer Research.

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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