Leonard U. Hess

497 total citations
9 papers, 208 citations indexed

About

Leonard U. Hess is a scholar working on Immunology, Epidemiology and Hepatology. According to data from OpenAlex, Leonard U. Hess has authored 9 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 2 papers in Epidemiology and 2 papers in Hepatology. Recurrent topics in Leonard U. Hess's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and Reproductive System and Pregnancy (2 papers). Leonard U. Hess is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (5 papers) and Reproductive System and Pregnancy (2 papers). Leonard U. Hess collaborates with scholars based in Germany, France and Hungary. Leonard U. Hess's co-authors include T Poch, Christoph Schramm, Marcus Altfeld, Annika E. Langeneckert, Karl J. Oldhafer, Sebastian Lunemann, Glòria Martrus, Laura Richert, Martina Koch and Gevitha Ravichandran and has published in prestigious journals such as Gastroenterology, PLoS ONE and Journal of Hepatology.

In The Last Decade

Leonard U. Hess

9 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonard U. Hess Germany 9 143 46 41 24 19 9 208
María García Barcina France 5 54 0.4× 55 1.2× 53 1.3× 22 0.9× 16 0.8× 6 143
Johannes Kolja Hegel Germany 9 134 0.9× 50 1.1× 45 1.1× 76 3.2× 16 0.8× 13 299
Yinong Ye China 9 54 0.4× 118 2.6× 130 3.2× 19 0.8× 26 1.4× 16 219
Silvia Mezzalira Italy 6 31 0.2× 27 0.6× 21 0.5× 76 3.2× 60 3.2× 8 215
Luís Maia Portugal 6 73 0.5× 20 0.4× 29 0.7× 13 0.5× 79 4.2× 18 168
Jiaquan Huang China 9 31 0.2× 86 1.9× 105 2.6× 16 0.7× 27 1.4× 25 198
Katherine Armour Australia 8 165 1.2× 5 0.1× 39 1.0× 37 1.5× 14 0.7× 12 267
Stephanie Kucykowicz United Kingdom 3 100 0.7× 28 0.6× 26 0.6× 58 2.4× 13 0.7× 6 141
Vũ Văn Khiên Vietnam 8 52 0.4× 57 1.2× 62 1.5× 30 1.3× 44 2.3× 18 280
Conrad Rauber Germany 8 70 0.5× 31 0.7× 32 0.8× 64 2.7× 36 1.9× 16 172

Countries citing papers authored by Leonard U. Hess

Since Specialization
Citations

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

Fields of papers citing papers by Leonard U. Hess

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard U. Hess. 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 Leonard U. Hess. The network helps show where Leonard U. Hess may publish in the future.

Co-authorship network of co-authors of Leonard U. Hess

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard U. Hess. A scholar is included among the top collaborators of Leonard U. Hess 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 Leonard U. Hess. Leonard U. Hess 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.
Grabitz, Peter, et al.. (2020). Quantity and quality of conflict of interest policies at German medical schools: a cross-sectional study and survey. BMJ Open. 10(9). e039782–e039782. 11 indexed citations
2.
Hess, Leonard U., Glòria Martrus, Annika E. Langeneckert, et al.. (2020). The Transcription Factor Promyelocytic Leukemia Zinc Finger Protein Is Associated With Expression of Liver‐Homing Receptors on Human Blood CD56bright Natural Killer Cells. Hepatology Communications. 4(3). 409–424. 9 indexed citations
3.
Martrus, Glòria, Annika E. Langeneckert, Janine Kah, et al.. (2019). CD49a Expression Identifies a Subset of Intrahepatic Macrophages in Humans. Frontiers in Immunology. 10. 1247–1247. 8 indexed citations
4.
Ravichandran, Gevitha, Katrin Neumann, Sören Weidemann, et al.. (2019). Interferon-γ-dependent immune responses contribute to the pathogenesis of sclerosing cholangitis in mice. Journal of Hepatology. 71(4). 773–782. 37 indexed citations
5.
Langeneckert, Annika E., Sebastian Lunemann, Glòria Martrus, et al.. (2019). CCL21‐expression and accumulation of CCR7 + NK cells in livers of patients with primary sclerosing cholangitis. European Journal of Immunology. 49(5). 758–769. 15 indexed citations
6.
Lunemann, Sebastian, Annika E. Langeneckert, Glòria Martrus, et al.. (2019). Human liver-derived CXCR6+ NK cells are predominantly educated through NKG2A and show reduced cytokine production. Journal of Leukocyte Biology. 105(6). 1331–1340. 17 indexed citations
7.
Lunemann, Sebastian, Anja Schöbel, Janine Kah, et al.. (2018). Interactions Between KIR3DS1 and HLA-F Activate Natural Killer Cells to Control HCV Replication in Cell Culture. Gastroenterology. 155(5). 1366–1371.e3. 37 indexed citations
8.
Martrus, Glòria, Kai Bachmann, Leonard U. Hess, et al.. (2018). Tissue-resident NK cells differ in their expression profile of the nutrient transporters Glut1, CD98 and CD71. PLoS ONE. 13(7). e0201170–e0201170. 54 indexed citations
9.
Martrus, Glòria, Sebastian Lunemann, Laura Richert, et al.. (2017). Proliferative capacity exhibited by human liver-resident CD49a+CD25+ NK cells. PLoS ONE. 12(8). e0182532–e0182532. 20 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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