Melissa Wasserstein

7.4k total citations
93 papers, 3.3k citations indexed

About

Melissa Wasserstein is a scholar working on Physiology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Melissa Wasserstein has authored 93 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Physiology, 33 papers in Molecular Biology and 25 papers in Clinical Biochemistry. Recurrent topics in Melissa Wasserstein's work include Lysosomal Storage Disorders Research (49 papers), Metabolism and Genetic Disorders (25 papers) and Genomics and Rare Diseases (15 papers). Melissa Wasserstein is often cited by papers focused on Lysosomal Storage Disorders Research (49 papers), Metabolism and Genetic Disorders (25 papers) and Genomics and Rare Diseases (15 papers). Melissa Wasserstein collaborates with scholars based in United States, France and United Kingdom. Melissa Wasserstein's co-authors include Margaret M. McGovern, Robert J. Desnick, Edward H. Schuchman, George A. Díaz, Scott E. Brodie, Alan M. Aron, Calogera M. Simonaro, Gerald F. Cox, Roberto Giugliani and David S. Mendelson and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Melissa Wasserstein

90 papers receiving 3.2k citations

Peers

Melissa Wasserstein
Comparison fields: 5 of 114
  • Physiology 1.9k
  • Molecular Biology 1.4k
  • Clinical Biochemistry 840
  • Rheumatology 529
  • Pediatrics, Perinatology and Child Health 457
Replace Olaf A. Bodamer with:
Olaf A. Bodamer United States
Vassili Valayannopoulos France
Turgay Coşkun Türkiye
Rossella Parini Italy
Emil Kakkis United States
Ben J. H. M. Poorthuis Netherlands
Marco Spada Italy
Neil R.M. Buist United States
Pietro Strisciuglio Italy
Guillem Pintos‐Morell Spain
Olaf A. Bodamer United States View profile →
Citations per field, relative to Melissa Wasserstein
Melissa Wasserstein · 1×
Citations per year, relative to Melissa Wasserstein
Melissa Wasserstein · 1×

Countries citing papers authored by Melissa Wasserstein

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Wasserstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Wasserstein

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Wasserstein. A scholar is included among the top collaborators of Melissa Wasserstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Melissa Wasserstein. Melissa Wasserstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 8
3 10
4 10
5 9
6 15
7 24
8 7
9 84
10 70
11 46
12 90
13 126
14 70
15 66
16 48
17 79
18 36
19 102
20 53

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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