Rene Sit

19 papers receiving 2.0k citations

Hit Papers

Early prediction of preeclampsia in pregnancy with cell-free RNA 2022 · 137 citations
1372020202620222024250500750

Peers

Rene Sit
Comparison fields: 5 of 124
  • Immunology 451
  • Neurology 158
  • Cancer Research 201
  • Molecular Biology 916
  • Pulmonary and Respiratory Medicine 387
Replace Lyndsay M. Murrow with:
Lyndsay M. Murrow United States
Yanqin Yang United States
Saket Choudhary United States
Ronnie Blecher‐Gonen Israel
Francesco Vallania United States
Gualtiero I. Colombo Italy
Feiyang Ma United States
Austin Hartman United States
Merav Cohen Israel
Colin McKerlie Canada
Rene Sit relative to Lyndsay M. Murrow United States Lyndsay M. Murrow's profile →
Citations per field
00.5×1.5×1.9×
Lyndsay M. Murrow · 1×
Citations per year

Countries citing papers authored by Rene Sit

Since Specialization
Citations

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

Fields of papers citing papers by Rene Sit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rene Sit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rene Sit Line = papers co-authored together Rene Sit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A molecular cell atlas of the human lung from single-cell RNA sequencing
Hit paper breakdown →
2020840
2
Molecular characterization of selectively vulnerable neurons in Alzheimer’s disease
Hit paper breakdown →
2021271
3 2011192
4 2013171
5
Early prediction of preeclampsia in pregnancy with cell-free RNA
Hit paper breakdown →
2022137
6 2020120
7 201256
8 201238
9 202335
10 202020
11 202119
12 202119
13 201218
14 201712
15 20209
16 20154
17 20191
18 20151
19 20151
20 20250

About Rene Sit

Rene Sit is a scholar working on Transplantation, Biological Psychiatry, Cancer Research, Neurology and Immunology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), T-cell and B-cell Immunology (3 papers), Transplantation: Methods and Outcomes (3 papers), Cancer Genomics and Diagnostics (3 papers), RNA modifications and cancer (3 papers), Single-cell and spatial transcriptomics (2 papers), RNA Research and Splicing (2 papers) and Microfluidic and Capillary Electrophoresis Applications (2 papers). The work is most often cited by research in Immunology (451 citations), Neurology (158 citations), Cancer Research (201 citations), Molecular Biology (916 citations) and Pulmonary and Respiratory Medicine (387 citations). Rene Sit has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Stephen R. Quake, Norma Neff, Matthias Meier, Kyle J. Travaglini, Gerald J. Berry, Ahmad N. Nabhan, Irving L. Weissman, Mark A. Krasnow, Astrid Gillich and Stephanie D. Conley. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Nature, eLife, Proceedings of the National Academy of Sciences and Nature Methods.

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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