Ruth Marshall

3.1k citations
80 papers · 1.9k · 1 hit paper · h-index 22

Impact in

Papers in

Ruth Marshall

75 papers receiving 1.7k citations

Ruth Marshall's Hit Papers

Glycoproteins 1972 · 523 citations
5230+18+36Years since publication100200300400500

Peers

Ruth Marshall
Comparison fields: 5 of 145
  • Developmental Biology 37
  • Molecular Biology 1.1k
  • Biotechnology 136
  • Genetics 290
  • Organic Chemistry 300
Replace Wendy E. Smith with:
Wendy E. Smith United States
Luis Felipe Jave‐Suárez Mexico
Masahiko Yoneda Japan
Edward S. Golub United States
Roberto R. Rosato United States
José Uriel France
Barbara Lipińska Poland
T.C. Bøg-Hansen Denmark
G. Mahrle Germany
M. Renko Slovenia
Ruth Marshall relative to Wendy E. Smith United States Wendy E. Smith's profile →
Citations per field
00.5×5.7×
Wendy E. Smith · 1×
Citations per year

Countries citing papers authored by Ruth Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Glycoproteins
Hit paper breakdown →
1972523
2 1960141
3 1961127
4 197984
5 200065
6 196360
7 196458
8
Asparaginase as a drug for treatment of acute lymphoblastic leukaemia.
198957
9 198450
10 196347
11 196243
12 196439
13 196938
14 197136
15 195834
16 196332
17 195831
18 196731
19 197425
20 196025

About Ruth Marshall

Ruth Marshall is a scholar working on Molecular Biology, Organic Chemistry, Surgery, Genetics and Endocrinology, Diabetes and Metabolism, having authored 80 papers that have together received 1.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (14 papers), Carbohydrate Chemistry and Synthesis (7 papers), Carbon Dioxide Capture Technologies (6 papers), Erythrocyte Function and Pathophysiology (5 papers), Diet, Metabolism, and Disease (5 papers), Spacecraft and Cryogenic Technologies (5 papers), Blood groups and transfusion (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Developmental Biology (37 citations), Molecular Biology (1.1k citations), Biotechnology (136 citations), Genetics (290 citations) and Organic Chemistry (300 citations). Ruth Marshall has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include A. Neuberger, Patricia G. Johansen, J. R. Ellis, L. S. PENROSE, Paul C. Zamecnik, C. L. Foster, F. J. Bloomfield, K.L. Sikri, Sylvia D. Lawler and Martin J. Gallagher. Their work appears in journals such as Nature, Biochemical Journal, Annals of Human Genetics, Vox Sanguinis and The Lancet.

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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