Alexander Pajic

967 total citations
8 papers, 754 citations indexed

About

Alexander Pajic is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Alexander Pajic has authored 8 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Pathology and Forensic Medicine and 3 papers in Molecular Biology. Recurrent topics in Alexander Pajic's work include Viral-associated cancers and disorders (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Mitochondrial Function and Pathology (2 papers). Alexander Pajic is often cited by papers focused on Viral-associated cancers and disorders (5 papers), Lymphoma Diagnosis and Treatment (4 papers) and Mitochondrial Function and Pathology (2 papers). Alexander Pajic collaborates with scholars based in Germany, Sweden and India. Alexander Pajic's co-authors include Axel Polack, Georg W. Bornkamm, Martin S. Staege, Marino Schuhmacher, Franz Kohlhuber, Dirk Eick, Ulrich H. Weidle, Horst Feldmann, B Christoph and Bettina Kempkes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and FEBS Letters.

In The Last Decade

Alexander Pajic

8 papers receiving 748 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alexander Pajic Germany	8	454	324	180	141	87	8	754
Tetsuharu Shinjyo Japan	10	453 1.0×	181 0.6×	51 0.3×	157 1.1×	88 1.0×	13	703
J. Thick United Kingdom	8	486 1.1×	257 0.8×	122 0.7×	129 0.9×	169 1.9×	9	688
Sushovan Guha United States	4	701 1.5×	252 0.8×	199 1.1×	86 0.6×	45 0.5×	6	791
Anna Kilbey United Kingdom	17	647 1.4×	217 0.7×	50 0.3×	163 1.2×	82 0.9×	35	891
Rut Valgardsdottir Italy	13	636 1.4×	206 0.6×	79 0.4×	147 1.0×	171 2.0×	21	938
Melissa C Adriance United States	7	472 1.0×	380 1.2×	66 0.4×	150 1.1×	154 1.8×	7	805
Peter Stiegler United States	12	586 1.3×	270 0.8×	56 0.3×	37 0.3×	71 0.8×	20	730
Christine Vissinga United States	10	798 1.8×	316 1.0×	65 0.4×	216 1.5×	289 3.3×	15	1.1k
Danièle Lantoine France	12	546 1.2×	187 0.6×	158 0.9×	198 1.4×	89 1.0×	15	839
Michele M. Johnson United States	4	393 0.9×	101 0.3×	77 0.4×	395 2.8×	87 1.0×	5	678

Countries citing papers authored by Alexander Pajic

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Pajic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Pajic

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Pajic. A scholar is included among the top collaborators of Alexander Pajic based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexander Pajic. Alexander Pajic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Staege, Martin S., Steven P. Lee, Teresa Frisan, et al.. (2002). MYC overexpression imposes a nonimmunogenic phenotype on Epstein–Barr virus-infected B cells. Proceedings of the National Academy of Sciences. 99(7). 4550–4555. 52 indexed citations

Pajic, Alexander, Martin S. Staege, Diana Dudziak, et al.. (2001). Antagonistic effects ofc-myc and Epstein-Barr virus latent genes on the phenotype of human B cells. International Journal of Cancer. 93(6). 810–816. 44 indexed citations

Pajic, Alexander, Axel Polack, Martin S. Staege, et al.. (2001). Elevated expression of c-myc in lymphoblastoid cells does not support an Epstein–Barr virus latency III-to-I switch. Journal of General Virology. 82(12). 3051–3055. 16 indexed citations

Pajic, Alexander, Dimitry Spitkovsky, B Christoph, et al.. (2000). Cell cycle activation by c-myc in a Burkitt lymphoma model cell line. International Journal of Cancer. 87(6). 787–793. 164 indexed citations

Schuhmacher, Marino, Martin S. Staege, Alexander Pajic, et al.. (1999). Control of cell growth by c-Myc in the absence of cell division. Current Biology. 9(21). 1255–1258. 230 indexed citations

Polack, Axel, Konstanze Hörtnagel, Alexander Pajic, et al.. (1996). c-myc activation renders proliferation of Epstein-Barr virus (EBV)-transformed cells independent of EBV nuclear antigen 2 and latent membrane protein 1.. Proceedings of the National Academy of Sciences. 93(19). 10411–10416. 109 indexed citations

Mannhaupt, Gertrud, et al.. (1994). Yta10p, a member of a novel ATPase family in yeast, is essential for mitochondrial function. FEBS Letters. 353(2). 197–200. 58 indexed citations

Pajic, Alexander, et al.. (1994). Yta10p is required for the ATP‐dependent degradation of polypeptides in the inner membrane of mitochondria. FEBS Letters. 353(2). 201–206. 81 indexed citations

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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