Hans B. Sieburg

34 total papers · 2.5k total citations
29 papers, 1.9k citations indexed

About

Hans B. Sieburg is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Hans B. Sieburg has authored 29 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Hematology and 10 papers in Immunology. Recurrent topics in Hans B. Sieburg's work include Hematopoietic Stem Cell Transplantation (12 papers), T-cell and B-cell Immunology (8 papers) and Single-cell and spatial transcriptomics (7 papers). Hans B. Sieburg is often cited by papers focused on Hematopoietic Stem Cell Transplantation (12 papers), T-cell and B-cell Immunology (8 papers) and Single-cell and spatial transcriptomics (7 papers). Hans B. Sieburg collaborates with scholars based in United States, United Kingdom and Panama. Hans B. Sieburg's co-authors include Christa E. Müller‐Sieburg, Rebecca H. Cho, Jeffrey M. Bernitz, Jennifer Rhees, Dominique Maciejewski, Eliezer Masliah, Richard A. Maki, Toni Paladino, Wanda F. Reynolds and Lars Karlsson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Hans B. Sieburg

28 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Hans B. Sieburg 820 800 738 271 229 29 1.9k
Irina Pleines 1.2k 1.5× 394 0.5× 652 0.9× 142 0.5× 287 1.3× 31 2.5k
Robert Signer 471 0.6× 501 0.6× 1.2k 1.7× 273 1.0× 206 0.9× 29 2.1k
Dirk Loeffler 673 0.8× 668 0.8× 696 0.9× 129 0.5× 191 0.8× 37 1.6k
Fernando J. Calero‐Nieto 846 1.0× 866 1.1× 1.9k 2.5× 140 0.5× 201 0.9× 43 2.8k
Michaël Dussiot 370 0.5× 539 0.7× 714 1.0× 479 1.8× 365 1.6× 54 1.8k
Ashley P. Ng 510 0.6× 374 0.5× 534 0.7× 298 1.1× 247 1.1× 64 1.9k
Claudia Korn 293 0.4× 408 0.5× 850 1.2× 125 0.5× 158 0.7× 31 2.0k
Roberta Mannucci 429 0.5× 358 0.4× 1.3k 1.8× 253 0.9× 166 0.7× 38 2.1k
Jessica C. Mar 816 1.0× 651 0.8× 1.6k 2.2× 314 1.2× 392 1.7× 60 3.2k
Olivier Déry 933 1.1× 396 0.5× 1.4k 1.9× 268 1.0× 692 3.0× 24 3.0k

Countries citing papers authored by Hans B. Sieburg

Since Specialization
Citations

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

Fields of papers citing papers by Hans B. Sieburg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans B. Sieburg. 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 Hans B. Sieburg. The network helps show where Hans B. Sieburg may publish in the future.

Co-authorship network of co-authors of Hans B. Sieburg

This figure shows the co-authorship network connecting the top 25 collaborators of Hans B. Sieburg. A scholar is included among the top collaborators of Hans B. Sieburg 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 Hans B. Sieburg. Hans B. Sieburg 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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