Ralph Green

184 papers receiving 8.6k citations

Ralph Green's Hit Papers

Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods 2019 · 275 citations
2750+3+6Years since publication200400600

Peers

Ralph Green
Comparison fields: 5 of 183
  • Rheumatology 4.4k
  • Clinical Biochemistry 849
  • Hematology 1.2k
  • Nutrition and Dietetics 815
  • Biological Psychiatry 111
Replace Anne M. Molloy with:
Anne M. Molloy Ireland
James L. Mills United States
Hirofumi Makino Japan
Stefan Kiechl Austria
Karl J. Lackner Germany
Johann Willeit Austria
Kiyoshi Kurokawa Japan
Régine P.M. Steegers‐Theunissen Netherlands
Arnold von Eckardstein Switzerland
Loreto Gesualdo Italy
Ralph Green relative to Anne M. Molloy Ireland Anne M. Molloy's profile →
Citations per field
00.5×1.5×
Anne M. Molloy · 1×
Citations per year

Countries citing papers authored by Ralph Green

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Vitamin B12 deficiency
Hit paper breakdown →
2017651
2 1995341
3 2008318
4 1968314
5 1996302
6 2003300
7
Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods
Hit paper breakdown →
2019275
8 2017238
9 2007221
10 2014210
11 2007182
12 1995175
13 2005153
14 2011147
15 2015146
16 2015144
17 2004140
18 1999139
19 2005124
20 2011121

About Ralph Green

Ralph Green is a scholar working on Rheumatology, Hematology, Clinical Biochemistry, Molecular Biology and Genetics, having authored 192 papers that have together received 9.2k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (105 papers), Iron Metabolism and Disorders (34 papers), Metabolism and Genetic Disorders (26 papers), Hemoglobinopathies and Related Disorders (17 papers), Erythrocyte Function and Pathophysiology (11 papers), Porphyrin Metabolism and Disorders (10 papers), Child Nutrition and Water Access (7 papers) and Trace Elements in Health (5 papers). The work is most often cited by research in Rheumatology (4.4k citations), Clinical Biochemistry (849 citations), Hematology (1.2k citations), Nutrition and Dietetics (815 citations) and Biological Psychiatry (111 citations). Ralph Green has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Joshua W. Miller, Lindsay H. Allen, Donald W. Jacobsen, Ralph Carmel, Mary N. Haan, Alex Brito, Laurence J. Kinsella, Dan Mungas, David S. Rosenblatt and David Watkins. Their work appears in journals such as American Journal of Clinical Nutrition, Journal of Nutrition, Blood, British Journal of Haematology and American Journal of Clinical Pathology.

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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