E. Gramer

2.2k citations
96 papers · 1.4k · h-index 24

Impact in

Papers in

E. Gramer

89 papers receiving 1.3k citations

Peers

E. Gramer
Comparison fields: 5 of 76
  • Ophthalmology 983
  • Radiology, Nuclear Medicine and Imaging 306
  • Neurology 78
  • Neurology 88
  • Molecular Biology 430
Replace Hiroyuki Iijima with:
Hiroyuki Iijima Japan
Enrique Garcia-Valenzuela United States
Fumihiko Mabuchi Japan
Mitsuko Yuzawa Japan
Pierre-Raphaël Rothschild France
R Futa Japan
Shida Chen China
Ronald L. Fellman United States
Moin Mohamed United Kingdom
Maria Vadalà Italy
E. Gramer relative to Hiroyuki Iijima Japan Hiroyuki Iijima's profile →
Citations per field
00.5×1.5×
Hiroyuki Iijima · 1×
Citations per year

Countries citing papers authored by E. Gramer

Since Specialization
Citations

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

Fields of papers citing papers by E. Gramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009112
2 201166
3
Prevalence of myocilin and optineurin sequence variants in German normal tension glaucoma patients.
200560
4 200953
5 201553
6 201050
7 201149
8 198247
9 199743
10 200942
11 200641
12 201039
13 200839
14
Variations in the WDR36 gene in German patients with normal tension glaucoma.
200737
15 198636
16 198535
17 200834
18 200931
19 201030
20 201128

About E. Gramer

E. Gramer is a scholar working on Ophthalmology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 96 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glaucoma and retinal disorders (63 papers), Ophthalmology and Eye Disorders (12 papers), Retinal Diseases and Treatments (10 papers), Cerebral Venous Sinus Thrombosis (8 papers), Ocular Surface and Contact Lens (8 papers), Retinal Development and Disorders (7 papers), Corneal surgery and disorders (7 papers) and Retinal Imaging and Analysis (5 papers). The work is most often cited by research in Ophthalmology (983 citations), Radiology, Nuclear Medicine and Imaging (306 citations), Neurology (78 citations), Neurology (88 citations) and Molecular Biology (430 citations). E. Gramer has collaborated with scholars based in Germany, China and United States. Frequent co-authors include Nicole Weisschuh, Gwendolyn Gramer, Bernd Wissinger, Wolfgang Leydhecker, Christiane Wolf, Bernhard H. F. Weber, Francesca Pasutto, André Reis, G. Krieglstein and Christian Y. Mardin. Their work appears in journals such as Der Ophthalmologe, Investigative Ophthalmology & Visual Science, Graefe s Archive for Clinical and Experimental Ophthalmology, Journal of Glaucoma and Ophthalmologica.

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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