Mark Parta

1.4k total citations
36 papers, 779 citations indexed

About

Mark Parta is a scholar working on Infectious Diseases, Immunology and Epidemiology. According to data from OpenAlex, Mark Parta has authored 36 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 15 papers in Immunology and 12 papers in Epidemiology. Recurrent topics in Mark Parta's work include Immunodeficiency and Autoimmune Disorders (10 papers), Antifungal resistance and susceptibility (9 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Mark Parta is often cited by papers focused on Immunodeficiency and Autoimmune Disorders (10 papers), Antifungal resistance and susceptibility (9 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Mark Parta collaborates with scholars based in United States, Canada and Mali. Mark Parta's co-authors include Steven M. Holland, Dennis D. Hickstein, Jennifer Cuellar‐Rodríguez, Christa S. Zerbe, Riri Shibata, Georgina Miller, Kyung J. Kwon‐Chung, Torgny N. Fredrickson, Frank Maldarelli and Tetsuro Matano and has published in prestigious journals such as Blood, CHEST Journal and Journal of Clinical Microbiology.

In The Last Decade

Mark Parta

34 papers receiving 771 citations

Peers

Mark Parta
Comparison fields: 5 of 66
  • Immunology 305
  • Infectious Diseases 279
  • Epidemiology 225
  • Genetics 163
  • Hematology 159
Replace Clementien L. Vermont with:
Clementien L. Vermont Netherlands
Daniela Dörfel Germany
Julia S. Presanis United Kingdom
Aaron Rae United Kingdom
J. J. Moulds United States
Thorsten Thye Germany
Daniel Teschner Germany
Xiao-Dan Yao Canada
Fatou Sisay-Joof Gambia
Ulrika Ringdahl Sweden
Clementien L. Vermont Netherlands View profile →
Citations per field, relative to Mark Parta
Mark Parta · 1×
Citations per year, relative to Mark Parta
Mark Parta · 1×

Countries citing papers authored by Mark Parta

Since Specialization
Citations

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

Fields of papers citing papers by Mark Parta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Parta

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Parta. A scholar is included among the top collaborators of Mark Parta 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 Mark Parta. Mark Parta 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 1
2 3
3 1
4 29
5 11
6 55
7 7
8 4
9 33
10 14
11 21
12 1
13 26
14 31
15 64
16 13
17 68
18 11
19 4
20 132

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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