Ingrid Lang

3.0k citations
60 papers · 2.3k · h-index 28

Impact in

    • Pregnancy and preeclampsia studies
    • Gestational Diabetes Research and Management
  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Ingrid Lang

59 papers receiving 2.3k citations

Peers

Ingrid Lang
Comparison fields: 5 of 105
  • Obstetrics and Gynecology 708
  • Neurology 347
  • Pediatrics, Perinatology and Child Health 410
  • Genetics 212
  • Biological Psychiatry 48
Replace Samuel Sam Wah Tay with:
Samuel Sam Wah Tay Singapore
Hoon‐Ki Sung Canada
Sung‐Chul Jung South Korea
Tony E. Walshe United States
Florian P. Limbourg Germany
Michael Afentoulis United States
Anders Hægerstrand Sweden
Sinem Karaman Switzerland
Cindy T. J. van Velthoven United States
George E. Farmer United States
Ingrid Lang relative to Samuel Sam Wah Tay Singapore Samuel Sam Wah Tay's profile →
Citations per field
00.5×4.8×
Samuel Sam Wah Tay · 1×
Citations per year

Countries citing papers authored by Ingrid Lang

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002396
2 2003154
3 2009136
4 1994109
5 200897
6 201787
7 200583
8 201676
9 201675
10 201770
11 201362
12 201157
13 199351
14 200149
15 201148
16 201847
17 201545
18 199840
19 200940
20 201437

About Ingrid Lang

Ingrid Lang is a scholar working on Molecular Biology, Obstetrics and Gynecology, Genetics, Surgery and Pediatrics, Perinatology and Child Health, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (19 papers), Mesenchymal stem cell research (13 papers), Angiogenesis and VEGF in Cancer (9 papers), Wound Healing and Treatments (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Congenital heart defects research (5 papers), Cholesterol and Lipid Metabolism (4 papers) and Gestational Diabetes Research and Management (4 papers). The work is most often cited by research in Obstetrics and Gynecology (708 citations), Neurology (347 citations), Pediatrics, Perinatology and Child Health (410 citations), Genetics (212 citations) and Biological Psychiatry (48 citations). Ingrid Lang has collaborated with scholars based in Austria, Germany and Italy. Frequent co-authors include Gernot Desoyé, Gottfried Dohr, Ursula Hiden, Berthold Huppertz, Edward Rockenstein, Eliezer Masliah, Margaret Mallory, Makoto Hashimoto, David Song and Clifford W. Shults. Their work appears in journals such as Placenta, Frontiers in Bioengineering and Biotechnology, Histochemistry and Cell Biology, Cell and Tissue Research and Stem Cell Research & Therapy.

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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