Hans-Werner Fries

1.3k total citations
8 papers, 1.1k citations indexed

About

Hans-Werner Fries is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Hans-Werner Fries has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Hans-Werner Fries's work include Immunotherapy and Immune Responses (5 papers), Cell death mechanisms and regulation (2 papers) and Immune Response and Inflammation (2 papers). Hans-Werner Fries is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Cell death mechanisms and regulation (2 papers) and Immune Response and Inflammation (2 papers). Hans-Werner Fries collaborates with scholars based in Germany. Hans-Werner Fries's co-authors include Ulf R. Rapp, Günter Daum, Jakob Troppmair, Iris Eisenmann-Tappe, Dieter Mecke, Kai‐Uwe Fröhlich, Eckhart Kämpgen, Manfred Rüdiger, Ralf Erdmann and David Botstein and has published in prestigious journals such as The Journal of Cell Biology, Blood and Trends in Biochemical Sciences.

In The Last Decade

Hans-Werner Fries

8 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hans-Werner Fries Germany	8	742	304	229	142	91	8	1.1k
Ann‐Muriel Steff Canada	17	545 0.7×	331 1.1×	155 0.7×	164 1.2×	72 0.8×	32	984
S Diment United States	13	539 0.7×	303 1.0×	360 1.6×	78 0.5×	127 1.4×	16	1.0k
Ying Cha United States	11	563 0.8×	401 1.3×	230 1.0×	440 3.1×	132 1.5×	13	1.1k
Shingo Toji Japan	14	670 0.9×	253 0.8×	217 0.9×	286 2.0×	127 1.4×	25	1.0k
Matthew D. Brown United States	14	764 1.0×	179 0.6×	350 1.5×	255 1.8×	89 1.0×	16	1.3k
Sudha Arya Canada	11	775 1.0×	388 1.3×	105 0.5×	185 1.3×	88 1.0×	12	1.2k
Jack O. Hensold United States	18	1.0k 1.4×	176 0.6×	153 0.7×	145 1.0×	120 1.3×	26	1.3k
Meredith Sagolla United States	16	916 1.2×	253 0.8×	332 1.4×	169 1.2×	82 0.9×	21	1.3k
Jean K. Stewart United States	6	560 0.8×	323 1.1×	116 0.5×	193 1.4×	71 0.8×	6	875
Jürgen Frey Germany	20	667 0.9×	524 1.7×	99 0.4×	173 1.2×	60 0.7×	30	1.3k

Countries citing papers authored by Hans-Werner Fries

Since Specialization

Citations

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

Fields of papers citing papers by Hans-Werner Fries

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans-Werner Fries. 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 Hans-Werner Fries. The network helps show where Hans-Werner Fries may publish in the future.

Co-authorship network of co-authors of Hans-Werner Fries

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

All Works

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8 of 8 papers shown

1.

Kolb‐Mäurer, Annette, Ivaylo Gentschev, Hans-Werner Fries, et al.. (2000). Listeria monocytogenes-Infected Human Dendritic Cells: Uptake and Host Cell Response. Infection and Immunity. 68(6). 3680–3688. 79 indexed citations

2.

Neumann, Manfred, Hans-Werner Fries, Christoph Scheicher, et al.. (2000). Differential expression of Rel/NF-κB and octamer factors is a hallmark of the generation and maturation of dendritic cells. Blood. 95(1). 277–285. 149 indexed citations

3.

Leverkus, Martin, Henning Walczak, Alexander D. McLellan, et al.. (2000). Maturation of dendritic cells leads to up-regulation of cellular FLICE-inhibitory protein and concomitant down-regulation of death ligand–mediated apoptosis. Blood. 96(7). 2628–2631. 14 indexed citations

4.

Neumann, Manfred, Hans-Werner Fries, Christoph Scheicher, et al.. (2000). Differential expression of Rel/NF-κB and octamer factors is a hallmark of the generation and maturation of dendritic cells. Blood. 95(1). 277–285. 15 indexed citations

5.

Leverkus, Martin, Henning Walczak, Alexander D. McLellan, et al.. (2000). Maturation of dendritic cells leads to up-regulation of cellular FLICE-inhibitory protein and concomitant down-regulation of death ligand–mediated apoptosis. Blood. 96(7). 2628–2631. 82 indexed citations

6.

Fröhlich, Kai‐Uwe, Hans-Werner Fries, Jan‐Michael Peters, & Dieter Mecke. (1995). The ATPase activity of purified CDC48p from Saccharomyces cerevisiae shows complex dependence on ATP-, ADP-, and NADH-concentrations and is completely inhibited by NEM. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1253(1). 25–32. 48 indexed citations

7.

Daum, Günter, Iris Eisenmann-Tappe, Hans-Werner Fries, Jakob Troppmair, & Ulf R. Rapp. (1994). The ins and outs of Raf kinases. Trends in Biochemical Sciences. 19(11). 474–480. 448 indexed citations

8.

Fröhlich, Kai‐Uwe, Hans-Werner Fries, Manfred Rüdiger, et al.. (1991). Yeast cell cycle protein CDC48p shows full-length homology to the mammalian protein VCP and is a member of a protein family involved in secretion, peroxisome formation, and gene expression.. The Journal of Cell Biology. 114(3). 443–453. 267 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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