Mark Schreiber

2.4k citations
30 papers · 1.7k · h-index 20

Impact in

Papers in

Mark Schreiber

30 papers receiving 1.7k citations

Peers

Mark Schreiber
Comparison fields: 5 of 125
  • Infectious Diseases 649
  • Public Health, Environmental and Occupational Health 771
  • Virology 80
  • Molecular Biology 599
  • Endocrinology 42
Replace Mario Recker with:
Mario Recker United Kingdom
Easwaran Sreekumar India
Enrico Lavezzo Italy
Sharifah Syed Hassan Malaysia
Jia‐Tsrong Jan Taiwan
Mingshu Wang China
Melinda J. Pryor Australia
Pamela J. Glass United States
G. Fibriansah Singapore
Jeremy Huynh United States
Mark Schreiber relative to Mario Recker United Kingdom Mario Recker's profile →
Citations per field
00.5×1.5×
Mario Recker · 1×
Citations per year

Countries citing papers authored by Mark Schreiber

Since Specialization
Citations

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

Fields of papers citing papers by Mark Schreiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008195
2 2007186
3 2008178
4 2001143
5 2006125
6 200493
7 200486
8 200983
9 201575
10 201172
11 201070
12 200756
13 201152
14 201049
15 200647
16 200947
17 201642
18 201528
19 197727
20 200619

About Mark Schreiber

Mark Schreiber is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology, Genetics and Sociology and Political Science, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (12 papers), Viral Infections and Vectors (7 papers), Malaria Research and Control (5 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Phylogenetic Studies (4 papers), Tuberculosis Research and Epidemiology (4 papers), Dengue and Mosquito Control Research (4 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Infectious Diseases (649 citations), Public Health, Environmental and Occupational Health (771 citations), Virology (80 citations), Molecular Biology (599 citations) and Endocrinology (42 citations). Mark Schreiber has collaborated with scholars based in Singapore, United States and New Zealand. Frequent co-authors include Martin L. Hibberd, Subhash G. Vasudevan, Thomas Tolfvenstam, Samiul Hasan, Barış Ethem Süzek, Steven L. Salzberg, Maria D. Ermolaeva, Eng Eong Ooi, Sabine Daugelat and P. S. Srinivasa Rao. Their work appears in journals such as Infection Genetics and Evolution, Bioinformatics, Theoretical and Applied Genetics, PLoS Computational Biology and PLoS neglected tropical diseases.

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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