Deborah Lang

2.6k citations
38 papers · 2.2k · h-index 22

Impact in

Papers in

    • Pancreatic and Hepatic Oncology Research 8
    • Chemokine receptors and signaling 2
    • melanin and skin pigmentation 4
    • Hippo pathway signaling and YAP/TAZ 3

Deborah Lang

36 papers receiving 2.1k citations

Peers

Deborah Lang
Comparison fields: 5 of 74
  • Cell Biology 375
  • Developmental Neuroscience 54
  • Molecular Biology 961
  • Oncology 330
  • Cancer Research 105
Replace Shinji Matsumoto with:
Shinji Matsumoto Japan
Hitomi Aoki Japan
Ann Kuo United States
Virginie Mattot France
Tomomasa Yokomizo Japan
Chungyee Leung-Hagesteijn Canada
Suzanne M. Bernier Canada
Benjamin Drogat Belgium
Guoqiang Gu United States
William M. Keyes Spain
Deborah Lang relative to Shinji Matsumoto Japan Shinji Matsumoto's profile →
Citations per field
00.5×1.5×1.9×
Shinji Matsumoto · 1×
Citations per year

Countries citing papers authored by Deborah Lang

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005314
2 2006234
3 2000189
4 2000186
5 2003163
6 1999155
7 2008120
8 200988
9 200976
10 201353
11 200851
12 201051
13 200947
14 201047
15 199844
16 199640
17 201836
18 201233
19 201433
20 200732

About Deborah Lang

Deborah Lang is a scholar working on Oncology, Cell Biology, Molecular Biology, Pulmonary and Respiratory Medicine and Ophthalmology, having authored 38 papers that have together received 2.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (11 papers), Pancreatic and Hepatic Oncology Research (8 papers), Developmental Biology and Gene Regulation (8 papers), melanin and skin pigmentation (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Chemokine receptors and signaling (2 papers), Genomics and Chromatin Dynamics (2 papers) and Congenital gastrointestinal and neural anomalies (2 papers). The work is most often cited by research in Cell Biology (375 citations), Developmental Neuroscience (54 citations), Molecular Biology (961 citations), Oncology (330 citations) and Cancer Research (105 citations). Deborah Lang has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Bruce Ruggeri, Jonathan A. Epstein, Min M. Lu, Rebecca S. Plummer, Sara Powell, Fabian Chen, Lingyi Huang, Joseph B. Mascarenhas, Sheila J. Miknyoczki and Rita Carrie Karianna Milewski. Their work appears in journals such as Pigment Cell & Melanoma Research, Journal of Clinical Investigation, Molecular Carcinogenesis, Journal of Biological Chemistry and Oncogene.

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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