Erik J. Tillman

1.9k citations
21 papers · 1.4k indexed · 3 hit papers · h-index 14

Erik J. Tillman

20 papers receiving 1.4k citations

Hit Papers

Efruxifermin in...19202120262022202450100150200250

Peers

Erik J. Tillman
Comparison fields: 5 of 83
  • Aging 52
  • Endocrinology, Diabetes and Metabolism 301
  • Epidemiology 586
  • Hepatology 134
  • Molecular Biology 835
Replace Pili Zhang with:
Pili Zhang United States
Santiago Vernia Spain
Monowarul Mobin Siddique Singapore
Matthew M. Molusky United States
Nir Rubins Israel
Rachel J. Roth Flach United States
Julie Cavanagh-Kyros United States
Jonathan Vanhoutte France
Judith Magenheim Israel
Silvia Pedretti Italy
Erik J. Tillman relative to Pili Zhang United States Pili Zhang's profile →
Citations per field
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Pili Zhang · 1×
Citations per year

Countries citing papers authored by Erik J. Tillman

Since Specialization
Citations

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

Fields of papers citing papers by Erik J. Tillman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik J. Tillman. 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 Erik J. Tillman. The network helps show where Erik J. Tillman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20255
2 20241
3 202437
4 20236
5
Safety and efficacy of once-weekly efruxifermin versus placebo in non-alcoholic steatohepatitis (HARMONY): a multicentre, randomised, double-blind, placebo-controlled, phase 2b trialbreakdown →
2023146
6 202272
7
Efruxifermin in non-alcoholic steatohepatitis: a randomized, double-blind, placebo-controlled, phase 2a trialbreakdown →
2021255
8 202111
9 20211
10 2020102
11 2020151
12 201943
13 201812
14 201496
15 201449
16 201357
17 2013136
18 201218
19 20111
20 2006184

About Erik J. Tillman

Erik J. Tillman is a scholar working on Aging, Molecular Biology and Hepatology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Kruppel-like factors research (7 papers), Chromatin Remodeling and Cancer (4 papers), Cancer Mechanisms and Therapy (3 papers), Epigenetics and DNA Methylation (3 papers), Diet, Metabolism, and Disease (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Aging (52 citations), Endocrinology, Diabetes and Metabolism (301 citations) and Epidemiology (586 citations). Erik J. Tillman has collaborated with scholars based in United States, United Kingdom and Tunisia. Frequent co-authors include Tim Rolph, Brittany de Temple, Guy Neff, Andrew Cheng, Kitty Yale, Stephen A. Harrison, Cynthia Behling, Erica Fong, Rashmee Patil and Chen Hu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine, Diabetes, PLoS Genetics and Cell Reports Medicine.

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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