W. E. Norris

1.5k citations
28 papers · 1.1k · h-index 12

Impact in

Papers in

W. E. Norris

28 papers receiving 1.1k citations

Peers

W. E. Norris
Comparison fields: 5 of 102
  • Endocrinology 212
  • Obstetrics and Gynecology 293
  • Immunology 288
  • Molecular Medicine 53
  • Food Science 184
Replace Áureo T. Yamada with:
Áureo T. Yamada Brazil
Masanori Watahiki Japan
Amit Pal India
Akira Nagai Japan
Zhilin Chen China
Nabendu Sekhar Chatterjee India
Jessica R. McCann United States
Kaoru Uchida Japan
Carlos Iregui Colombia
Beny Spira Brazil
W. E. Norris relative to Áureo T. Yamada Brazil Áureo T. Yamada's profile →
Citations per field
00.5×3.8×
Áureo T. Yamada · 1×
Citations per year

Countries citing papers authored by W. E. Norris

Since Specialization
Citations

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

Fields of papers citing papers by W. E. Norris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004420
2 2009169
3 2004110
4 201368
5 201067
6 201167
7 197141
8 201032
9 201623
10 201621
11 200917
12 196313
13 196710
14 195110
15 20239
16 19596
17 19645
18 19565
19 20195
20 19594

About W. E. Norris

W. E. Norris is a scholar working on Obstetrics and Gynecology, Plant Science, Pediatrics, Perinatology and Child Health, Immunology and Molecular Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (9 papers), Plant Physiology and Cultivation Studies (6 papers), Birth, Development, and Health (6 papers), Reproductive System and Pregnancy (6 papers), Plant Pathogens and Fungal Diseases (3 papers), Plant nutrient uptake and metabolism (2 papers), Nuclear Structure and Function (2 papers) and Escherichia coli research studies (2 papers). The work is most often cited by research in Endocrinology (212 citations), Obstetrics and Gynecology (293 citations), Immunology (288 citations), Molecular Medicine (53 citations) and Food Science (184 citations). W. E. Norris has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Satyan Kalkunte, Surendra Sharma, Paul S. Cohen, Tyrrell Conway, Mary P. Leatham, David C. Laux, Darren J. Smalley, Don L. Tucker, Charles R. Wira and Charles L. Sentman. Their work appears in journals such as Physiologia Plantarum, Journal of Reproductive Immunology, American Journal Of Pathology, Journal of Midwifery & Women s Health and Soil Science.

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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