Paul Naumann

755 total citations
12 papers, 334 citations indexed

About

Paul Naumann is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Paul Naumann has authored 12 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Paul Naumann's work include Cancer-related Molecular Pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Iron Metabolism and Disorders (2 papers). Paul Naumann is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Iron Metabolism and Disorders (2 papers). Paul Naumann collaborates with scholars based in United States, Australia and Czechia. Paul Naumann's co-authors include John D. Kemp, John Thorson, Francisco J. Gómez, David K. Meyerholz, Jan Kovář, Mariah Leidinger, Thomas M. Cardillo, Bo E. Hedlund, George J. Weiner and Xiaojun Wang and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and European Journal of Immunology.

In The Last Decade

Paul Naumann

12 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Naumann United States 10 118 79 65 58 56 12 334
Nashmil Emami Canada 9 139 1.2× 86 1.1× 105 1.6× 24 0.4× 19 0.3× 10 397
Lynn G. Baird United States 11 104 0.9× 33 0.4× 44 0.7× 129 2.2× 22 0.4× 14 389
Keizo Kato Japan 10 212 1.8× 53 0.7× 51 0.8× 79 1.4× 11 0.2× 13 403
Nicholas A. Zorko United States 11 104 0.9× 78 1.0× 165 2.5× 176 3.0× 72 1.3× 31 470
M Misago Japan 9 133 1.1× 76 1.0× 34 0.5× 140 2.4× 12 0.2× 30 354
SD Smith United States 7 151 1.3× 118 1.5× 154 2.4× 137 2.4× 16 0.3× 11 417
Marika Pla France 9 184 1.6× 49 0.6× 64 1.0× 127 2.2× 27 0.5× 15 375
Éva Karászi Hungary 8 205 1.7× 78 1.0× 142 2.2× 70 1.2× 16 0.3× 17 389
Tanya Sezin Germany 14 132 1.1× 21 0.3× 67 1.0× 130 2.2× 16 0.3× 23 511
J. Babnik Slovenia 12 149 1.3× 47 0.6× 79 1.2× 22 0.4× 12 0.2× 18 444

Countries citing papers authored by Paul Naumann

Since Specialization
Citations

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

Fields of papers citing papers by Paul Naumann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Naumann

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Naumann. A scholar is included among the top collaborators of Paul Naumann 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 Paul Naumann. Paul Naumann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Gibson‐Corley, Katherine N., Mariah Leidinger, Allyn M. Lambertz, et al.. (2016). A method for histopathological study of the multifocal nature of spinal cord lesions in murine experimental autoimmune encephalomyelitis. PeerJ. 4. e1600–e1600. 21 indexed citations
2.
Bartlett, Jennifer A., David K. Meyerholz, Christine Wohlford-Lenane, et al.. (2015). Increased susceptibility to otitis media in a Splunc1-deficient mouse model. Disease Models & Mechanisms. 8(5). 501–508. 13 indexed citations
3.
Sieren, Jessica C., David K. Meyerholz, Xiaojun Wang, et al.. (2014). Development and translational imaging of a TP53 porcine tumorigenesis model. Journal of Clinical Investigation. 124(9). 4052–4066. 73 indexed citations
4.
Reed, Sara M., Jussara Hagen, Nicholas Borcherding, et al.. (2014). NIAM-Deficient Mice Are Predisposed to the Development of Proliferative Lesions including B-Cell Lymphomas. PLoS ONE. 9(11). e112126–e112126. 5 indexed citations
5.
Olivier, Alicia K., et al.. (2012). Genetically modified species in research: opportunities and challenges for the histology core laboratory. Journal of Histotechnology. 35(2). 63–67. 13 indexed citations
6.
Guseva, Natalya V., Colleen Fullenkamp, Paul Naumann, et al.. (2010). Glycosylation contributes to variability in expression of murine cytomegalovirus m157 and enhances stability of interaction with the NK‐cell receptor Ly49H. European Journal of Immunology. 40(9). 2618–2631. 7 indexed citations
7.
Truksa, Jaroslav, Jan Kovář, Tomáš Valenta, et al.. (2003). Iron deprivation induces apoptosis independently of p53 in human and murine tumour cells. Cell Proliferation. 36(4). 199–213. 25 indexed citations
9.
Kemp, John D., et al.. (1995). Inhibition of lymphoma growth in vivo by combined treatment with hydroxyethyl starch deferoxamine conjugate and IgG monoclonal antibodies against the transferrin receptor.. PubMed. 55(17). 3817–24. 37 indexed citations
10.
Kemp, John D., et al.. (1992). Inhibition of hematopoietic tumor growth by combined treatment with deferoxamine and an IgG monoclonal antibody against the transferrin receptor: evidence for a threshold model of iron deprivation toxicity.. PubMed. 52(15). 4144–8. 34 indexed citations
11.
Kemp, John D., et al.. (1992). Effects of Anti-Transferrin Receptor Antibodies on the Growth of Neoplastic Cells. Pathobiology. 60(1). 27–32. 14 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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