Nada Babović

1.2k citations
34 papers · 615 · h-index 14

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 9
    • Immunotherapy and Immune Responses 7
    • CAR-T cell therapy research 5
    • Cutaneous Melanoma Detection and Management 2
    • Cancer Immunotherapy and Biomarkers 2

Nada Babović

34 papers receiving 605 citations

Peers

Nada Babović
Comparison fields: 5 of 64
  • Immunology 294
  • Oncology 197
  • Neurology 56
  • Pathology and Forensic Medicine 56
  • Cancer Research 46
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Citations per field
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Citations per year

Countries citing papers authored by Nada Babović

Since Specialization
Citations

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

Fields of papers citing papers by Nada Babović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200774
2 201558
3 200651
4 200950
5 201446
6 201538
7
Primary non-Hodgkin lymphoma of the breast. Is it possible to avoid mastectomy?
200038
8 199735
9 200133
10 201032
11 201019
12 202216
13 201715
14 202014
15 200213
16 201512
17
In vitro increased natural killer cell activity of metastatic melanoma patients with interferon-α alone as opposed to its combination with 13-cis retinoic acid is associated with modulation of NKG2D and CD161 activating receptor expression.
201310
18 20239
19 20168
20 20238

About Nada Babović

Nada Babović is a scholar working on Immunology, Oncology, Pulmonary and Respiratory Medicine, Molecular Biology and Surgery, having authored 34 papers that have together received 615 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (5 papers), Sarcoma Diagnosis and Treatment (4 papers), Renal cell carcinoma treatment (2 papers), Cutaneous Melanoma Detection and Management (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (294 citations), Oncology (197 citations), Neurology (56 citations), Pathology and Forensic Medicine (56 citations) and Cancer Research (46 citations). Nada Babović has collaborated with scholars based in Serbia, United States and France. Frequent co-authors include Katarina Mirjačić Martinović, Gordana Konjević, Vladimir Jurišić, Ana Vuletić, I Spužić, Radan Džodić, S Jelić, Vesna Jovanović, Vladimir Kovčin and S. Jelić. Their work appears in journals such as Melanoma Research, European Journal of Cancer, Journal of Clinical Pathology, Journal of Surgical Research and Acta Oncologica.

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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