Meredith E. Pittman

2.4k citations
49 papers · 1.2k indexed · h-index 17

Meredith E. Pittman

44 papers receiving 1.2k citations

Peers

Meredith E. Pittman
Comparison fields: 5 of 108
  • Modeling and Simulation 97
  • Cancer Research 296
  • Oncology 386
  • Otorhinolaryngology 47
  • Hepatology 83
Replace David A. Rew with:
David A. Rew United Kingdom
Rachel E. Factor United States
Danielle M. Hari United States
Iain Beehuat Tan Singapore
Ingrid Hofland Netherlands
Javier F. Torres–Roca United States
Diego Chowell United States
Paul B. Robbins United States
Kerstin Haase Germany
Meredith E. Pittman relative to David A. Rew United Kingdom David A. Rew's profile →
Citations per field
00.5×10.6×
David A. Rew · 1×
Citations per year

Countries citing papers authored by Meredith E. Pittman

Since Specialization
Citations

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

Fields of papers citing papers by Meredith E. Pittman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meredith E. Pittman. 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 Meredith E. Pittman. The network helps show where Meredith E. Pittman may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20214
5 202116
6 20215
7 202010
8 20187
9 201851
10 201735
11 201634
12 2016198
13 201624
14 201610
15 2015344
16 201510
17 20156
18 201449
19 201416
20 201132

About Meredith E. Pittman

Meredith E. Pittman is a scholar working on Hepatology, Gastroenterology, Surgery, Oncology and Family Practice, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Eosinophilic Esophagitis (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Microscopic Colitis (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Gastrointestinal disorders and treatments (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Cancer Genomics and Diagnostics (4 papers) and Genetic factors in colorectal cancer (4 papers). The work is most often cited by research in Modeling and Simulation (97 citations), Cancer Research (296 citations), Oncology (386 citations), Otorhinolaryngology (47 citations) and Hepatology (83 citations). Meredith E. Pittman has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Ralph H. Hruban, Bert Vogelstein, Ivana Božić, Bartłomiej Waclaw, Martin A. Nowak, Rhonda K. Yantiss, Nicholas J. Roberts, James S. Lewis, Ana I. Robles and Maria Popoli. Their work appears in journals such as The American Journal of Surgical Pathology, The American Journal of Gastroenterology, Archives of Pathology & Laboratory Medicine, Surgical pathology clinics and Contraception.

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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