Deborah Damm

4.2k citations
25 papers · 3.5k indexed · 1 hit paper · h-index 19

Impact in

Papers in

Deborah Damm

25 papers receiving 3.4k citations

Hit Papers

Heparin-binding EGF-like growth factor gene is induced in the mouse uterus temporally by the blastocyst solely at the site of its apposition: a possible ligand for interaction with blastocyst EGF-receptor in implantation 1994 · 501 citations
5011994202620042015100200300400500

Peers

Deborah Damm
Comparison fields: 5 of 115
  • Endocrine and Autonomic Systems 369
  • Immunology and Allergy 271
  • Immunology 864
  • Reproductive Medicine 243
  • Cell Biology 410
Replace H.R. Lijnen with:
H.R. Lijnen Belgium
Kenji Oritani Japan
Ken Taniguchi Japan
Ingrid Laurendeau France
Hideaki Enzan Japan
Aihua Li China
Hideki Tanzawa Japan
Wadie F. Bahou United States
Arto Orpana Finland
Laurent Daniel France
Deborah Damm relative to H.R. Lijnen Belgium H.R. Lijnen's profile →
Citations per field
00.5×8.1×
H.R. Lijnen · 1×
Citations per year

Countries citing papers authored by Deborah Damm

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Damm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2007103
2 2004239
3 20009
4 2000300
5 19999
6 199737
7 19963
8 199515
9 199471
10 199477
11 1994141
12 19941
13 199467
14 1993139
15 199324
16 1992311
17 1989243
18 1987332
19 1985337
20 1985145

About Deborah Damm

Deborah Damm is a scholar working on Endocrine and Autonomic Systems, Cell Biology, Oncology, Immunology and Allergy and Hepatology, having authored 25 papers that have together received 3.5k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (8 papers), HER2/EGFR in Cancer Research (7 papers), Neonatal Respiratory Health Research (4 papers), Neuroscience of respiration and sleep (4 papers), Glycosylation and Glycoproteins Research (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Liver physiology and pathology (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (369 citations), Immunology and Allergy (271 citations), Immunology (864 citations), Reproductive Medicine (243 citations) and Cell Biology (410 citations). Deborah Damm has collaborated with scholars based in United States, Japan and Sweden. Frequent co-authors include Roger White, Judith A. Abraham, Michael Klagsbrun, Samuel Hawgood, B J Benson, Judith A. Clements, Sanjoy Das, Sudhansu K. Dey, Barry S. Rosen and Bruce M. Spiegelman. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Circulation Research, Proceedings of the National Academy of Sciences and Endocrinology.

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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