David Pilzer

756 total citations
10 papers, 510 citations indexed

About

David Pilzer is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, David Pilzer has authored 10 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Physiology. Recurrent topics in David Pilzer's work include Extracellular vesicles in disease (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Complement system in diseases (2 papers). David Pilzer is often cited by papers focused on Extracellular vesicles in disease (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Complement system in diseases (2 papers). David Pilzer collaborates with scholars based in Israel, United States and Switzerland. David Pilzer's co-authors include Zvi Fishelson, Oren Moskovich, Olivier Gasser, Jürg A. Schifferli, Keizo Koya, Merav Kedmi, Hadas Keren‐Shaul, Ido Amit, Can Ergen and Eyal David and has published in prestigious journals such as Nature, Nature Biotechnology and Journal of neurosurgery.

In The Last Decade

David Pilzer

10 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Pilzer Israel	9	390	138	113	46	34	10	510
Nourdine Bah United Kingdom	11	281 0.7×	146 1.1×	88 0.8×	66 1.4×	24 0.7×	12	503
Stacey B. Andersen Australia	13	669 1.7×	165 1.2×	179 1.6×	18 0.4×	26 0.8×	23	860
Alka A. Potdar United States	14	480 1.2×	94 0.7×	111 1.0×	86 1.9×	35 1.0×	27	736
Émilie Louvet France	16	551 1.4×	123 0.9×	56 0.5×	100 2.2×	14 0.4×	23	805
Claude Tschopp Switzerland	7	366 0.9×	204 1.5×	69 0.6×	25 0.5×	35 1.0×	7	579
Michelle Moksa Canada	16	518 1.3×	69 0.5×	194 1.7×	31 0.7×	12 0.4×	35	734
Lisa McGinnis United States	8	508 1.3×	187 1.4×	194 1.7×	15 0.3×	56 1.6×	10	703
Véronique Leblanc Canada	11	278 0.7×	45 0.3×	82 0.7×	56 1.2×	39 1.1×	15	419
Tobias Bergauer Switzerland	8	454 1.2×	99 0.7×	154 1.4×	21 0.5×	17 0.5×	11	650
Nicki Gray United Kingdom	11	533 1.4×	74 0.5×	123 1.1×	50 1.1×	86 2.5×	12	704

Countries citing papers authored by David Pilzer

Since Specialization

Citations

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

Fields of papers citing papers by David Pilzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Pilzer

This figure shows the co-authorship network connecting the top 25 collaborators of David Pilzer. A scholar is included among the top collaborators of David Pilzer 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 David Pilzer. David Pilzer 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

1.

Stoler‐Barak, Liat, Adi Biram, Merav Kedmi, et al.. (2024). Turbinate-homing IgA-secreting cells originate in the nasal lymphoid tissues. Nature. 632(8025). 637–646. 13 indexed citations

2.

Leshkowitz, Dena, Merav Kedmi, David Pilzer, et al.. (2022). Exploring differential exon usage via short- and long-read RNA sequencing strategies. Open Biology. 12(9). 220206–220206. 11 indexed citations

3.

Lopez, Romain, Baoguo Li, Hadas Keren‐Shaul, et al.. (2022). DestVI identifies continuums of cell types in spatial transcriptomics data. Nature Biotechnology. 40(9). 1360–1369. 118 indexed citations

4.

Rosenwasser, Shilo, Uri Sheyn, Miguel J. Frada, et al.. (2019). Unmasking cellular response of a bloom-forming alga to viral infection by resolving expression profiles at a single-cell level. PLoS Pathogens. 15(4). e1007708–e1007708. 16 indexed citations

5.

Pilzer, David, et al.. (2009). Mortalin inhibitors sensitize K562 leukemia cells to complement‐dependent cytotoxicity. International Journal of Cancer. 126(6). 1428–1435. 42 indexed citations

6.

Pilzer, David & Zvi Fishelson. (2006). Role for mortalin-C9 interactions in cell resistance to complement-mediated lysis. Molecular Immunology. 44(1-3). 229–229. 2 indexed citations

7.

Pilzer, David, Olivier Gasser, Oren Moskovich, Jürg A. Schifferli, & Zvi Fishelson. (2005). Emission of membrane vesicles: roles in complement resistance, immunity and cancer. Springer Seminars in Immunopathology. 27(3). 375–387. 168 indexed citations

8.

Pilzer, David & Zvi Fishelson. (2005). Mortalin/GRP75 promotes release of membrane vesicles from immune attacked cells and protection from complement-mediated lysis. International Immunology. 17(9). 1239–1248. 97 indexed citations

9.

Pilzer, David, Olivier Gasser, Oren Moskovich, Jürg A. Schifferli, & Zvi Fishelson. (2005). Emission of membrane vesicles: roles in complement resistance, immunity and cancer. Springer Semin Immunopathol. 22 indexed citations

10.

Rienstein, Shlomit, et al.. (2003). Comparative genomic hybridization analysis of craniopharyngiomas. Journal of neurosurgery. 98(1). 162–164. 21 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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