Constance J. Temm

2.7k citations
30 papers · 2.1k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Constance J. Temm

30 papers receiving 2.1k citations

Hit Papers

Redefining endothelial progenitor cells via clonal analysis and hematopoietic stem/progenitor cell principals 2006 · 1.2k citations
1.2k20062026201220192505007501000

Peers

Constance J. Temm
Comparison fields: 5 of 107
  • Genetics 335
  • Cancer Research 288
  • Nephrology 132
  • Molecular Biology 1.2k
  • Hematology 132
Replace Takashi Omura with:
Takashi Omura Japan
Ken‐ichiro Sasaki Japan
Atsushi Watanabe Japan
Maria A. Cavasin United States
Long Zheng China
John J. Lepore United States
Oliver Dewald Germany
Yazhou Cui China
Atsushi Izawa Japan
Lisa Menegazzo Italy
Constance J. Temm relative to Takashi Omura Japan Takashi Omura's profile →
Citations per field
00.5×5.1×
Takashi Omura · 1×
Citations per year

Countries citing papers authored by Constance J. Temm

Since Specialization
Citations

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

Fields of papers citing papers by Constance J. Temm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Constance J. Temm. 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 Constance J. Temm. The network helps show where Constance J. Temm may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20239
2 202238
3 202218
4 202215
5 20216
6 20204
7 20178
8 201733
9 201720
10 201613
11 201060
12 200855
13 200872
14 200838
15 200719
16 200745
17 200740
18
Temporal Development of Choroidal Neovascularization (CNV) in the Rat Laser Trauma Model
20051
19 2004237
20 200452

About Constance J. Temm

Constance J. Temm is a scholar working on Cancer Research, Toxicology, Nephrology, Applied Microbiology and Biotechnology and Immunology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (6 papers), Angiogenesis and VEGF in Cancer (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers), Dialysis and Renal Disease Management (2 papers), Cancer Cells and Metastasis (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Genetics (335 citations), Cancer Research (288 citations), Nephrology (132 citations), Molecular Biology (1.2k citations) and Hematology (132 citations). Constance J. Temm has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Mervin C. Yöder, Laura E. Mead, Rachel Krasich, Daniel N. Prater, David A. Ingram, Josef T. Prchal, Fang Li, Jesus H. Dominguez, Jo Mahenthiran and Jingling Li. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Biomarker Research, Clinical Epigenetics, Molecular Therapy and Oncology 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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