K. Springer

1.1k total citations
14 papers, 933 citations indexed

About

K. Springer is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, K. Springer has authored 14 papers receiving a total of 933 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Oncology. Recurrent topics in K. Springer's work include Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers) and Blood properties and coagulation (2 papers). K. Springer is often cited by papers focused on Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers) and Blood properties and coagulation (2 papers). K. Springer collaborates with scholars based in United States, Austria and Switzerland. K. Springer's co-authors include Paul Freimuth, Maria C. Bewley, John M. Flanagan, L E Scudder, Barry S. Coller, Jason Howitt, S. McCorkle, Yian‐Biao Zhang, Narla Mohandas and Jürg H. Beer and has published in prestigious journals such as Science, Journal of Clinical Investigation and JNCI Journal of the National Cancer Institute.

In The Last Decade

K. Springer

13 papers receiving 909 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Springer United States 9 465 462 193 192 148 14 933
Irene Kuhn United States 14 444 1.0× 364 0.8× 63 0.3× 383 2.0× 58 0.4× 21 1.0k
M Kuppuswamy United States 18 766 1.6× 525 1.1× 147 0.8× 232 1.2× 121 0.8× 27 1.5k
Nancy MacKay United Kingdom 18 453 1.0× 315 0.7× 98 0.5× 184 1.0× 61 0.4× 49 908
W. H. Kirsten United States 16 535 1.2× 407 0.9× 118 0.6× 226 1.2× 49 0.3× 57 1.2k
Denise R. Shaw United States 21 858 1.8× 392 0.8× 99 0.5× 298 1.6× 33 0.2× 34 1.4k
Louise S. Rabstein United States 13 311 0.7× 352 0.8× 64 0.3× 137 0.7× 24 0.2× 21 840
Tim Beißert Germany 17 1.1k 2.3× 290 0.6× 355 1.8× 180 0.9× 62 0.4× 26 1.5k
Hongjie Wang United States 23 903 1.9× 904 2.0× 178 0.9× 444 2.3× 56 0.4× 49 1.4k
Claire Y. Dunn United States 9 398 0.9× 245 0.5× 46 0.2× 194 1.0× 34 0.2× 11 679
Randy Fenrick United States 12 594 1.3× 82 0.2× 222 1.2× 125 0.7× 72 0.5× 16 1.1k

Countries citing papers authored by K. Springer

Since Specialization
Citations

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

Fields of papers citing papers by K. Springer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Springer

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

All Works

14 of 14 papers shown
1.
Marlowe, Jennifer, Robert Schaefer, K. Springer, et al.. (2024). Predicted genetic burden and frequency of phenotype-associated variants in the horse. Scientific Reports. 14(1). 8396–8396. 5 indexed citations
2.
Zhang, Yian‐Biao, et al.. (2004). Protein aggregation during overexpression limited by peptide extensions with large net negative charge. Protein Expression and Purification. 36(2). 207–216. 109 indexed citations
3.
Awasthi, Vibhudutta, G.E. Meinken, K. Springer, S.C. Srivastava, & Paul Freimuth. (2004). Biodistribution of Radioiodinated Adenovirus Fiber Protein Knob Domain after Intravenous Injection in Mice. Journal of Virology. 78(12). 6431–6438. 34 indexed citations
4.
Geimonen, Erika, et al.. (2002). Hantavirus Pulmonary Syndrome-Associated Hantaviruses Contain Conserved and Functional ITAM Signaling Elements. Journal of Virology. 77(2). 1638–1643. 50 indexed citations
5.
García‐Closas, Montserrat, Karl T. Kelsey, Susan E. Hankinson, et al.. (1999). Glutathione S-Transferase Mu and Theta Polymorphisms and Breast Cancer Susceptibility. JNCI Journal of the National Cancer Institute. 91(22). 1960–1964. 81 indexed citations
6.
7.
Bewley, Maria C., et al.. (1999). Structural Analysis of the Mechanism of Adenovirus Binding to Its Human Cellular Receptor, CAR. Science. 286(5444). 1579–1583. 373 indexed citations
8.
9.
10.
Coller, Barry S., et al.. (1992). Thromboerythrocytes. In vitro studies of a potential autologous, semi-artificial alternative to platelet transfusions.. Journal of Clinical Investigation. 89(2). 546–555. 84 indexed citations
11.
Springer, K., et al.. (1964). [ON THE INDUCED FORMATION OF UREASE].. PubMed. 27. 47–53. 3 indexed citations
12.
Kaiser, E. & K. Springer. (1963). [Electron microscopic and biochemical studies on the cytotoxic effects of heterologous antisera against tumor cells].. PubMed. 75. 312–4. 2 indexed citations
13.
Kaiser, E., et al.. (1962). Cytotoxische Effekte von Antiseren gegen Farbstoff-Protein-Komplexe. Journal of Cancer Research and Clinical Oncology. 64(6). 448–458.
14.
Kaiser, E., et al.. (1959). Cytotoxische Effekte von Antiseren gegen Protein-Farbstoff-Komplexe an vitalgef�rbten M�usetumoren. Die Naturwissenschaften. 46(17). 517–517. 1 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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