Joan Sesing Lenz

768 citations
14 papers · 312 indexed · h-index 7
    • Renal Transplantation Outcomes and Treatments 2
    • Cancer Genomics and Diagnostics 6
    • Genomics and Phylogenetic Studies 3
    • Single-cell and spatial transcriptomics 2
    • Epigenetics and DNA Methylation 2
    • Molecular Biology Techniques and Applications 2
    • Lipid Membrane Structure and Behavior 2
    • Tuberculosis Research and Epidemiology 2

Joan Sesing Lenz

13 papers receiving 309 citations

Peers

Joan Sesing Lenz
Comparison fields: 5 of 72
  • Transplantation 15
  • Cancer Research 61
  • Molecular Biology 182
  • Infectious Diseases 37
  • Periodontics 9
Replace Lambert H.J. Lambooy with:
Lambert H.J. Lambooy Netherlands
Alexandre Pellan Cheng United States
Floriana Barbera Italy
Pétra Paulasova France
Claudia De Pasquale Italy
Lisi Huang China
Shaozhen Feng China
Luke D. Halder Germany
Tae-Seop Shin South Korea
Kristin S. Inman United States
Joan Sesing Lenz relative to Lambert H.J. Lambooy Netherlands Lambert H.J. Lambooy's profile →
Citations per field
00.5×10×15×21×
Lambert H.J. Lambooy · 1×
Citations per year

Countries citing papers authored by Joan Sesing Lenz

Since Specialization
Citations

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

Fields of papers citing papers by Joan Sesing Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Sesing Lenz. 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 Joan Sesing Lenz. The network helps show where Joan Sesing Lenz may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Joan Sesing Lenz, 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 Joan Sesing Lenz Line = papers co-authored together Joan Sesing Lenz links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20250
2 20251
3 20242
4 202412
5 202229
6 202218
7 20224
8 20215
9 20212
10 202148
11 202110
12 2020143
13 202034
14 20174

About Joan Sesing Lenz

Joan Sesing Lenz is a scholar working on Transplantation, Cancer Research and Periodontics, having authored 14 papers that have together received 312 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Genomics and Phylogenetic Studies (3 papers), Single-cell and spatial transcriptomics (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Tuberculosis Research and Epidemiology (2 papers), Epigenetics and DNA Methylation (2 papers), Molecular Biology Techniques and Applications (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Transplantation (15 citations), Cancer Research (61 citations) and Molecular Biology (182 citations). Joan Sesing Lenz has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Iwijn De Vlaminck, Qiaojuan Shi, Benjamin Grodner, Hao Shi, Warren R. Zipfel, Ilana Brito, Alexandre Pellan Cheng, Philip Burnham, John R. Lee and Francisco M. Marty. Their work appears in journals such as Clinical Chemistry, Scientific Reports, Nature Communications, Proceedings of the National Academy of Sciences and Cell Reports.

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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