José‐Marc Techner

1.1k total citations · 1 hit paper
8 papers, 756 citations indexed

About

José‐Marc Techner is a scholar working on Immunology, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, José‐Marc Techner has authored 8 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Pathology and Forensic Medicine and 2 papers in Dermatology. Recurrent topics in José‐Marc Techner's work include Vitamin D Research Studies (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Immune Cell Function and Interaction (2 papers). José‐Marc Techner is often cited by papers focused on Vitamin D Research Studies (2 papers), Hematopoietic Stem Cell Transplantation (2 papers) and Immune Cell Function and Interaction (2 papers). José‐Marc Techner collaborates with scholars based in United States, Switzerland and United Kingdom. José‐Marc Techner's co-authors include Eric M. Pietras, Emmanuelle Passegué, Sarah Fong, Ranjani Lakshminarasimhan, Dirk Loeffler, Ulrich Steidl, Timm Schroeder, Britta Will, Claus Nerlov and Markus G. Manz and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Cell Biology and Analytical Chemistry.

In The Last Decade

José‐Marc Techner

7 papers receiving 756 citations

Hit Papers

Chronic interleukin-1 exposure drives haematopoietic stem... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José‐Marc Techner United States 5 462 380 223 118 78 8 756
Dorian LaTocha United States 13 261 0.6× 190 0.5× 238 1.1× 199 1.7× 87 1.1× 19 663
Cyrus Khandanpour Germany 17 390 0.8× 554 1.5× 521 2.3× 157 1.3× 213 2.7× 73 1.2k
Hanane Boukarabila United Kingdom 6 257 0.6× 254 0.7× 387 1.7× 49 0.4× 51 0.7× 8 691
Leiv Sindre Rusten Norway 11 220 0.5× 270 0.7× 206 0.9× 65 0.6× 116 1.5× 14 555
Astrid Olsnes Kittang Norway 16 240 0.5× 530 1.4× 278 1.2× 157 1.3× 141 1.8× 30 790
Erin Gatza United States 13 527 1.1× 429 1.1× 318 1.4× 47 0.4× 201 2.6× 18 967
Morgan L. McLemore United States 12 213 0.5× 224 0.6× 110 0.5× 122 1.0× 213 2.7× 38 579
Thomas C. Beck United States 9 237 0.5× 254 0.7× 136 0.6× 74 0.6× 70 0.9× 15 625
Grazia Abou‐Ezzi United States 10 190 0.4× 157 0.4× 314 1.4× 101 0.9× 138 1.8× 13 614
Elizabeth Kruse Australia 9 283 0.6× 252 0.7× 471 2.1× 78 0.7× 103 1.3× 11 852

Countries citing papers authored by José‐Marc Techner

Since Specialization
Citations

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

Fields of papers citing papers by José‐Marc Techner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José‐Marc Techner. 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 José‐Marc Techner. The network helps show where José‐Marc Techner may publish in the future.

Co-authorship network of co-authors of José‐Marc Techner

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

All Works

8 of 8 papers shown
1.
Techner, José‐Marc, Venus Onay, Dauren Biyashev, et al.. (2023). Vitamin D3 and deconvoluting a rash. JCI Insight. 8(2). 5 indexed citations
2.
Techner, José‐Marc, et al.. (2022). 859 Skin tape strip proteomics in mycosis fungoides identifies tumor associated biomarkers. Journal of Investigative Dermatology. 142(8). S149–S149. 2 indexed citations
3.
Biyashev, Dauren, et al.. (2021). 488 Synthetic melanin nanoparticles as a potential topical therapy for treating injured skin. Journal of Investigative Dermatology. 141(5). S84–S84. 1 indexed citations
4.
Techner, José‐Marc, Lisbet Ambrosius Christensen, Venus Onay, et al.. (2021). 439 Oral 25-hydroxyvitamin D3 reduces chemical-induced skin inflammation in humans. Journal of Investigative Dermatology. 141(5). S76–S76.
5.
Biyashev, Dauren, et al.. (2020). A novel treatment for skin repair using a combination of spironolactone and vitamin D3. Annals of the New York Academy of Sciences. 1480(1). 170–182. 10 indexed citations
6.
Techner, José‐Marc, Weston Kightlinger, Lin Liang, et al.. (2019). High-Throughput Synthesis and Analysis of Intact Glycoproteins Using SAMDI-MS. Analytical Chemistry. 92(2). 1963–1971. 20 indexed citations
7.
Pietras, Eric M., Sarah Fong, Dirk Loeffler, et al.. (2016). Chronic interleukin-1 exposure drives haematopoietic stem cells towards precocious myeloid differentiation at the expense of self-renewal. Nature Cell Biology. 18(6). 607–618. 500 indexed citations breakdown →
8.
Pietras, Eric M., Ranjani Lakshminarasimhan, José‐Marc Techner, et al.. (2014). Re-entry into quiescence protects hematopoietic stem cells from the killing effect of chronic exposure to type I interferons. The Journal of Experimental Medicine. 211(2). 245–262. 218 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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