Carl-Philipp Hackstein

1.7k total citations
9 papers, 135 citations indexed

About

Carl-Philipp Hackstein is a scholar working on Immunology, Oncology and Epidemiology. According to data from OpenAlex, Carl-Philipp Hackstein has authored 9 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 2 papers in Oncology and 2 papers in Epidemiology. Recurrent topics in Carl-Philipp Hackstein's work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and IL-33, ST2, and ILC Pathways (2 papers). Carl-Philipp Hackstein is often cited by papers focused on T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and IL-33, ST2, and ILC Pathways (2 papers). Carl-Philipp Hackstein collaborates with scholars based in United Kingdom, Germany and United States. Carl-Philipp Hackstein's co-authors include Paul Klenerman, Ali Amini, Christian Kurts, Irmgard Förster, Wolfgang Kastenmüller, Timo Schwandt, Daniela C. Kroy, Jonel Trebicka, Sabine Klein and Fabian Gondorf and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Gut.

In The Last Decade

Carl-Philipp Hackstein

8 papers receiving 135 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carl-Philipp Hackstein United Kingdom	7	68	49	34	29	19	9	135
Houssein El Saghire France	4	50 0.7×	81 1.7×	58 1.7×	72 2.5×	15 0.8×	4	173
Stefan Lueth Germany	4	70 1.0×	84 1.7×	83 2.4×	17 0.6×	14 0.7×	7	187
Carolin Manthey Germany	7	26 0.4×	32 0.7×	44 1.3×	21 0.7×	23 1.2×	11	139
Jiaquan Huang China	9	31 0.5×	105 2.1×	86 2.5×	27 0.9×	16 0.8×	25	198
Laura Valestrand Norway	5	23 0.3×	52 1.1×	67 2.0×	27 0.9×	9 0.5×	5	112
Benedikt Csernalabics Germany	5	52 0.8×	79 1.6×	80 2.4×	37 1.3×	19 1.0×	7	173
Costanza Sbreglia Italy	9	50 0.7×	63 1.3×	60 1.8×	14 0.5×	15 0.8×	20	157
Zebao He China	8	17 0.3×	75 1.5×	35 1.0×	52 1.8×	13 0.7×	14	177
Valeria Fumagalli Italy	4	64 0.9×	75 1.5×	54 1.6×	25 0.9×	23 1.2×	10	130
P Kokordelis Germany	8	120 1.8×	119 2.4×	159 4.7×	13 0.4×	15 0.8×	13	256

Countries citing papers authored by Carl-Philipp Hackstein

Since Specialization

Citations

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

Fields of papers citing papers by Carl-Philipp Hackstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carl-Philipp Hackstein. 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 Carl-Philipp Hackstein. The network helps show where Carl-Philipp Hackstein may publish in the future.

Co-authorship network of co-authors of Carl-Philipp Hackstein

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

All Works

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9 of 9 papers shown

1.

Hackstein, Carl-Philipp. (2025). Liver damage and immune responses. Zeitschrift für Gastroenterologie. 63(1). 56–64.

2.

Hackstein, Carl-Philipp & Paul Klenerman. (2023). MAITs and their mates: “Innate-like” behaviors in conventional and unconventional T cells. Clinical & Experimental Immunology. 213(1). 1–9. 7 indexed citations

3.

Heuser, Christoph, Carl-Philipp Hackstein, Christoph A. Thaiss, et al.. (2023). Conditional NKT Cell Depletion in Mice Reveals a Negative Feedback Loop That Regulates CTL Cross-Priming. The Journal of Immunology. 212(1). 35–42. 1 indexed citations

4.

Hackstein, Carl-Philipp, Claire Pearson, Samuel J. Bullers, et al.. (2022). A conserved population of MHC II-restricted, innate-like, commensal-reactive T cells in the gut of humans and mice. Nature Communications. 13(1). 7472–7472. 11 indexed citations

5.

Hackstein, Carl-Philipp & Paul Klenerman. (2022). Emerging features of MAIT cells and other unconventional T cell populations in human viral disease and vaccination.. Seminars in Immunology. 61-64. 101661–101661. 11 indexed citations

6.

Amini, Ali, et al.. (2020). MAIT Cells in Barrier Tissues: Lessons from Immediate Neighbors. Frontiers in Immunology. 11. 584521–584521. 29 indexed citations

7.

Mattner, Jochen, Javid P. Mohammed, Michael E. Fusakio, et al.. (2019). Genetic and functional data identifying Cd101 as a type 1 diabetes (T1D) susceptibility gene in nonobese diabetic (NOD) mice. PLoS Genetics. 15(6). e1008178–e1008178. 10 indexed citations

8.

Hagel, Joachim, Lucy C. Garner, Hema Mehta, et al.. (2019). Human MAIT Cell Activation In Vitro. Methods in molecular biology. 2098. 97–124. 12 indexed citations

9.

Hackstein, Carl-Philipp, Sabine Klein, Timo Schwandt, et al.. (2016). Gut microbial translocation corrupts myeloid cell function to control bacterial infection during liver cirrhosis. Gut. 66(3). 507–518. 54 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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