Thomas Kraemer

742 total citations
10 papers, 200 citations indexed

About

Thomas Kraemer is a scholar working on Immunology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Thomas Kraemer has authored 10 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Epidemiology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Thomas Kraemer's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (2 papers). Thomas Kraemer is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (2 papers). Thomas Kraemer collaborates with scholars based in Germany, Austria and Mexico. Thomas Kraemer's co-authors include Christina Bade‐Doeding, Rainer Blasczyk, Trevor Huyton, Heike Kunze‐Schumacher, Svetlin Tchatalbachev, Trinad Chakraborty, Jan Dürig, Sabine Schramm, Peter A. Horn and Ulrich Dührsen and has published in prestigious journals such as Cancer, International Journal of Molecular Sciences and Immunogenetics.

In The Last Decade

Thomas Kraemer

10 papers receiving 196 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Kraemer Germany	7	160	26	23	19	17	10	200
Andy Roemhild Germany	10	113 0.7×	61 2.3×	71 3.1×	20 1.1×	17 1.0×	11	197
Dennis C. Copertino United States	6	57 0.4×	19 0.7×	12 0.5×	18 0.9×	15 0.9×	8	123
Shilpi Chandra United States	9	170 1.1×	36 1.4×	38 1.7×	30 1.6×	12 0.7×	11	234
Jane Crowe United Kingdom	5	240 1.5×	81 3.1×	31 1.3×	33 1.7×	6 0.4×	5	296
Saba Azarnoush France	7	120 0.8×	23 0.9×	35 1.5×	24 1.3×	35 2.1×	10	207
Elena Deripapa Russia	5	48 0.3×	26 1.0×	13 0.6×	16 0.8×	19 1.1×	24	82
Seraina Prader Switzerland	6	85 0.5×	20 0.8×	21 0.9×	22 1.2×	22 1.3×	14	134
Pamela Aranda Lopez Germany	8	94 0.6×	25 1.0×	18 0.8×	20 1.1×	9 0.5×	15	131
Prashant V. Shinde Germany	8	64 0.4×	55 2.1×	19 0.8×	30 1.6×	9 0.5×	11	185
Toshinori Moriguchi Japan	6	45 0.3×	16 0.6×	21 0.9×	24 1.3×	13 0.8×	7	109

Countries citing papers authored by Thomas Kraemer

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Kraemer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Kraemer. 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 Thomas Kraemer. The network helps show where Thomas Kraemer may publish in the future.

Co-authorship network of co-authors of Thomas Kraemer

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

All Works

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10 of 10 papers shown

Delgado, Graciela E., Marcus E. Kleber, Gökhan Yücel, et al.. (2022). The renin‐angiotensin‐aldosterone system, neurohumoral axis and cardiovascular mortality in LURIC. Journal of Clinical Hypertension. 24(12). 1587–1597. 5 indexed citations

Kraemer, Thomas, et al.. (2021). Changes in AZGP1 Serum Levels and Correlation With Pulse Wave Velocity After Kidney Transplantation. Frontiers in Cardiovascular Medicine. 8. 692213–692213. 1 indexed citations

Kraemer, Thomas, et al.. (2019). Between Innate and Adaptive Immune Responses: NKG2A, NKG2C, and CD8+ T Cell Recognition of HLA-E Restricted Self-Peptides Acquired in the Absence of HLA-Ia. International Journal of Molecular Sciences. 20(6). 1454–1454. 7 indexed citations

Baisantry, Arpita, Thomas Kraemer, Christoph Wrede, et al.. (2016). Autophagy in kidney transplants of sirolimus treated recipients. Journal of Nephropathology. 6(2). 90–96. 6 indexed citations

Wagner, Bettina, Sabine Schramm, Thomas Kraemer, et al.. (2016). HLA‐E allelic genotype correlates with HLA‐E plasma levels and predicts early progression in chronic lymphocytic leukemia. Cancer. 123(5). 814–823. 34 indexed citations

Kraemer, Thomas, et al.. (2015). The diversity of the HLA-E-restricted peptide repertoire explains the immunological impact of the Arg107Gly mismatch. Immunogenetics. 68(1). 29–41. 48 indexed citations

Kraemer, Thomas, et al.. (2015). HLA-E: Presentation of a Broader Peptide Repertoire Impacts the Cellular Immune Response—Implications on HSCT Outcome. Stem Cells International. 2015. 1–12. 46 indexed citations

Kraemer, Thomas, Rainer Blasczyk, & Christina Bade‐Doeding. (2014). HLA-E: A Novel Player for Histocompatibility. Journal of Immunology Research. 2014. 1–7. 31 indexed citations

Kraemer, Thomas, et al.. (2014). The TIR Domain Containing Locus ofEnterococcus faecalisIs Predominant among Urinary Tract Infection Isolates and Downregulates Host Inflammatory Response. International Journal of Microbiology. 2014. 1–9. 14 indexed citations

10.

Kraemer, Thomas. (2007). Addicted to Oil: Strategic Implications of American Oil Policy. Defense Technical Information Center (DTIC). 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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