Susan Grass

1.5k citations
32 papers · 1.2k · h-index 20

Impact in

Papers in

    • Bacterial Infections and Vaccines 24
    • Antimicrobial Peptides and Activities 4
    • RNA and protein synthesis mechanisms 12
    • Glycosylation and Glycoproteins Research 4

Susan Grass

32 papers receiving 1.2k citations

Peers

Susan Grass
Comparison fields: 5 of 70
  • Microbiology 465
  • Endocrinology 206
  • Molecular Medicine 102
  • Genetics 286
  • Molecular Biology 609
Replace Deborah H. Schmiel with:
Deborah H. Schmiel United States
Daniele Veggi Italy
Ralph C. Judd United States
Barbara A. Bensing United States
Franziska Agerer Germany
Mario Domenighini Italy
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Elisabetta Frigimelica Italy
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Susan Grass relative to Deborah H. Schmiel United States Deborah H. Schmiel's profile →
Citations per field
00.5×1.6×
Deborah H. Schmiel · 1×
Citations per year

Countries citing papers authored by Susan Grass

Since Specialization
Citations

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

Fields of papers citing papers by Susan Grass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003137
2 201095
3 199892
4 200888
5 200073
6 201057
7 199757
8 201150
9 200449
10 200743
11 198843
12 200642
13 199339
14 200638
15 199438
16 199433
17 200632
18 198927
19 200121
20 199721

About Susan Grass

Susan Grass is a scholar working on Microbiology, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (24 papers), RNA and protein synthesis mechanisms (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Peptidase Inhibition and Analysis (8 papers), Pneumonia and Respiratory Infections (5 papers), Glycosylation and Glycoproteins Research (4 papers), Antimicrobial Peptides and Activities (4 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Microbiology (465 citations), Endocrinology (206 citations), Molecular Medicine (102 citations), Genetics (286 citations) and Molecular Biology (609 citations). Susan Grass has collaborated with scholars based in United States, Ireland and Canada. Frequent co-authors include Joseph W. St. Geme, Robert S. Munson, Julia Christina Gross, Hye‐Jeong Yeo, Michael A. Apicella, Neeraj K. Surana, W. Edward Swords, Stephen J. Barenkamp, Kyoung‐Jae Choi and Cheryl F. Lichti. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Molecular Microbiology, Journal of Biological Chemistry and Vaccine.

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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