Paul D. Hulseberg

442 total citations
9 papers, 368 citations indexed

About

Paul D. Hulseberg is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Paul D. Hulseberg has authored 9 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Paul D. Hulseberg's work include Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Immune Response and Inflammation (3 papers). Paul D. Hulseberg is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers) and Immune Response and Inflammation (3 papers). Paul D. Hulseberg collaborates with scholars based in United States, Australia and Canada. Paul D. Hulseberg's co-authors include Mátyás Sándor, Zsuzsanna Fábry, Jeffrey Harding, Irving C. Allen, Jonathan T. Sullivan, Jenny P.‐Y. Ting, Erin McElvania, Miriam Braunstein, Jessica R. McCann and Heidi A. Schreiber and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Scientific Reports.

In The Last Decade

Paul D. Hulseberg

9 papers receiving 360 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 D. Hulseberg United States 8 190 131 130 85 46 9 368
Ji‐Hun Lim South Korea 8 114 0.6× 54 0.4× 110 0.8× 89 1.0× 56 1.2× 27 365
Wing Fuk Chan Australia 8 113 0.6× 55 0.4× 178 1.4× 51 0.6× 49 1.1× 13 388
K Kasahara Japan 7 232 1.2× 91 0.7× 81 0.6× 90 1.1× 17 0.4× 8 438
Maria Julia Diacovo United States 6 137 0.7× 43 0.3× 106 0.8× 58 0.7× 9 0.2× 11 349
Jennillee Wallace United States 10 97 0.5× 48 0.4× 98 0.8× 43 0.5× 69 1.5× 16 321
Leslie E. Sanderson New Zealand 10 302 1.6× 43 0.3× 164 1.3× 58 0.7× 67 1.5× 11 514
Jessica S. Hook United States 14 229 1.2× 45 0.3× 122 0.9× 57 0.7× 14 0.3× 22 381
Sheila Waugh United Kingdom 8 147 0.8× 42 0.3× 44 0.3× 103 1.2× 30 0.7× 17 358
Fethia Ben Yebdri Canada 10 164 0.9× 27 0.2× 141 1.1× 43 0.5× 22 0.5× 10 423
Erika González‐Domínguez Mexico 8 161 0.8× 35 0.3× 64 0.5× 42 0.5× 22 0.5× 10 299

Countries citing papers authored by Paul D. Hulseberg

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. Hulseberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul D. Hulseberg

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

All Works

9 of 9 papers shown
1.
Harris, Melissa G., Paul D. Hulseberg, Changying Ling, et al.. (2014). Immune privilege of the CNS is not the consequence of limited antigen sampling. Scientific Reports. 4(1). 4422–4422. 76 indexed citations
2.
Schreiber, Heidi A., et al.. (2011). Inflammatory dendritic cells migrate in and out of transplanted chronic mycobacterial granulomas in mice. Journal of Clinical Investigation. 121(10). 3902–3913. 47 indexed citations
3.
Carrithers, Lisette M., Paul D. Hulseberg, Mátyás Sándor, & Michael D. Carrithers. (2011). The human macrophage sodium channel NaV1.5 regulates mycobacteria processing through organelle polarization and localized calcium oscillations. FEMS Immunology & Medical Microbiology. 63(3). 319–327. 44 indexed citations
4.
Schreiber, Heidi A., et al.. (2011). Continuous repopulation of lymphocyte subsets in transplanted mycobacterial granulomas. European Journal of Microbiology and Immunology. 1(1). 59–69. 6 indexed citations
5.
McElvania, Erin, Irving C. Allen, Paul D. Hulseberg, et al.. (2010). Granuloma Formation and Host Defense in Chronic Mycobacterium tuberculosis Infection Requires PYCARD/ASC but Not NLRP3 or Caspase-1. PLoS ONE. 5(8). e12320–e12320. 128 indexed citations
6.
Schreiber, Heidi A., Paul D. Hulseberg, József Prechl, et al.. (2010). Dendritic Cells in Chronic Mycobacterial Granulomas Restrict Local Anti-Bacterial T Cell Response in a Murine Model. PLoS ONE. 5(7). e11453–e11453. 41 indexed citations
8.
Ling, Changying, et al.. (2009). Intracerebral Mycobacterium bovis bacilli Calmette–Guerin infection-induced immune responses in the CNS. Journal of Neuroimmunology. 213(1-2). 112–122. 10 indexed citations
9.
Hogan, Laura H., Erika Héninger, Rebecca A. Elsner, et al.. (2007). Requirements for CD4+ T cell levels in acute Mycobacterium bovis strain bacille Calmette Guerin (BCG)-induced granulomas differ for optimal mycobacterial control versus granuloma formation. International Immunology. 19(5). 627–633. 8 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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