Daniel R. Vlock

42 total papers · 1.1k total citations
32 papers, 916 citations indexed

About

Daniel R. Vlock is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Daniel R. Vlock has authored 32 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 14 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Oncology. Recurrent topics in Daniel R. Vlock's work include Monoclonal and Polyclonal Antibodies Research (13 papers), Immunotherapy and Immune Responses (12 papers) and Lymphoma Diagnosis and Treatment (5 papers). Daniel R. Vlock is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (13 papers), Immunotherapy and Immune Responses (12 papers) and Lymphoma Diagnosis and Treatment (5 papers). Daniel R. Vlock collaborates with scholars based in United States, South Korea and Ireland. Daniel R. Vlock's co-authors include John M. Kirkwood, Marc S. Ernstoff, Jane W. Fountain, Maria Karayiorgou, Jill M. Lahti, Brigitte Bouchard, Alan N. Houghton, Linda Titus‐Ernstoff, Vijayasaradhi Setaluri and George L. Adams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Daniel R. Vlock

32 papers receiving 898 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel R. Vlock 448 332 300 163 153 32 916
T Torigoe 283 0.6× 436 1.3× 320 1.1× 110 0.7× 177 1.2× 30 1.2k
Christian Idel 461 1.0× 262 0.8× 291 1.0× 128 0.8× 59 0.4× 47 856
Éric Levy 563 1.3× 222 0.7× 279 0.9× 158 1.0× 86 0.6× 35 1.1k
Hui Wang 738 1.6× 344 1.0× 474 1.6× 196 1.2× 65 0.4× 36 1.1k
Melanie Straub 515 1.1× 423 1.3× 438 1.5× 66 0.4× 144 0.9× 19 908
Jin‐Hao Yang 516 1.2× 282 0.8× 502 1.7× 84 0.5× 58 0.4× 27 946
Yoshinori Suminami 339 0.8× 523 1.6× 339 1.1× 332 2.0× 93 0.6× 41 1.2k
J.H. Holzner 364 0.8× 292 0.9× 100 0.3× 178 1.1× 186 1.2× 49 858
Qiuliang Wu 446 1.0× 406 1.2× 126 0.4× 275 1.7× 41 0.3× 37 919
Claudio Dansky Ullmann 397 0.9× 274 0.8× 116 0.4× 81 0.5× 54 0.4× 26 794

Countries citing papers authored by Daniel R. Vlock

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Vlock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Vlock. 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 Daniel R. Vlock. The network helps show where Daniel R. Vlock may publish in the future.

Co-authorship network of co-authors of Daniel R. Vlock

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

All Works

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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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