Mark Robert Segal

17.2k citations
200 papers · 13.7k · 4 hit papers · h-index 55

Impact in

Papers in

Mark Robert Segal

195 papers receiving 12.9k citations

Mark Robert Segal's Hit Papers

Inclusion body formation reduces levels of mutant huntingtin and the risk of neuronal death 2004 · 1.6k citations
1.6k0+11+22Years since publication50010001.5k

Peers

Mark Robert Segal
Comparison fields: 5 of 214
  • Obstetrics and Gynecology 792
  • Statistics and Probability 722
  • Cellular and Molecular Neuroscience 1.5k
  • Virology 321
  • Physiology 1.6k
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Citations per field
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Citations per year

Countries citing papers authored by Mark Robert Segal

Since Specialization
Citations

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

Fields of papers citing papers by Mark Robert Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 200 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Inclusion body formation reduces levels of mutant huntingtin and the risk of neuronal death
Hit paper breakdown →
20041647
2
A Comparison of Lorazepam, Diazepam, and Placebo for the Treatment of Out-of-Hospital Status Epilepticus
Hit paper breakdown →
2001685
3
Endovaginal Ultrasound to Exclude Endometrial Cancer and Other Endometrial Abnormalities
Hit paper breakdown →
1998554
4
Machine Learning Benchmarks and Random Forest Regression
2004524
5
The Effect of Maternal Smoking during Pregnancy on Early Infant Lung Function
Hit paper breakdown →
1992456
6 1987422
7 1988390
8 2009353
9 1999333
10 1999324
11 2012274
12 2016267
13 1988246
14 2005240
15 2008220
16 2011209
17 2001186
18 2011177
19 1992154
20 1988152

About Mark Robert Segal

Mark Robert Segal is a scholar working on Statistics and Probability, Pulmonary and Respiratory Medicine, Infectious Diseases, Virology and Molecular Biology, having authored 200 papers that have together received 13.7k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (20 papers), Statistical Methods and Inference (17 papers), Genomics and Chromatin Dynamics (16 papers), Asthma and respiratory diseases (12 papers), HIV Research and Treatment (9 papers), Tuberculosis Research and Epidemiology (8 papers), Neonatal Respiratory Health Research (8 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers). The work is most often cited by research in Obstetrics and Gynecology (792 citations), Statistics and Probability (722 citations), Cellular and Molecular Neuroscience (1.5k citations), Virology (321 citations) and Physiology (1.6k citations). Mark Robert Segal has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Erik S. Schweitzer, Siddhartha S. Mitra, Steven M. Finkbeiner, Montserrat Arrasate, Ira Bruce Tager, Yuanyuan Xiao, Scott T. Weiss, Scott T. Weiss, David Sparrow and Deborah G. Grady. Their work appears in journals such as Statistics in Medicine, PLoS ONE, Biometrics, Statistical Applications in Genetics and Molecular Biology and Journal of the American Statistical Association.

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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