Ming-Mo Hou

1.6k citations
10 papers · 156 · h-index 7

Impact in

Papers in

Ming-Mo Hou

9 papers receiving 154 citations

Peers

Ming-Mo Hou
Comparison fields: 5 of 31
  • Reproductive Medicine 15
  • Oncology 42
  • Pulmonary and Respiratory Medicine 47
  • Obstetrics and Gynecology 10
  • Cancer Research 17
Replace Iwao Kobayashi with:
Iwao Kobayashi Japan
Nienke Solleveld‐Westerink Netherlands
Sílvia Catot Spain
Jorge S. Reis-Filho United States
Rusi Zhang China
Elizabeth V. Connor United States
Zong-Min Fan China
Ornella Nicoletto Italy
Nikola Hájková Czechia
Qingxia Fan China
Ming-Mo Hou relative to Iwao Kobayashi Japan Iwao Kobayashi's profile →
Citations per field
00.5×5.5×
Iwao Kobayashi · 1×
Citations per year

Countries citing papers authored by Ming-Mo Hou

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Mo Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Mo Hou. 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 Ming-Mo Hou. The network helps show where Ming-Mo Hou may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201450
2 202027
3 202122
4 201619
5 201411
6
Outcomes of patients with metastatic cervical cancer in a phase I clinical trials program.
20149
7 20169
8 20156
9
Erlotinib treatment in patients with advanced lung adenocarcinoma with CISH-positive and CISH-negative EGFR gene alterations.
20123
10 20240

About Ming-Mo Hou

Ming-Mo Hou is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Oncology and Hematology, having authored 10 papers that have together received 156 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Cancer Mechanisms and Therapy (1 paper), Renal cell carcinoma treatment (1 paper), Lung Cancer Treatments and Mutations (1 paper), Multiple Myeloma Research and Treatments (1 paper), Cancer Treatment and Pharmacology (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper). The work is most often cited by research in Reproductive Medicine (15 citations), Oncology (42 citations), Pulmonary and Respiratory Medicine (47 citations), Obstetrics and Gynecology (10 citations) and Cancer Research (17 citations). Ming-Mo Hou has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Siqing Fu, David S. Hong, Aung Naing, Filip Jankú, Karen H. Lu, Robert L. Coleman, Apostolia M. Tsimberidou, Ralph Zinner, Xiaochun Liu and Jennifer J. Wheler. Their work appears in journals such as Oncotarget, Biomedical Journal, Targeted Oncology, European Journal of Nuclear Medicine and Molecular Imaging and Cancer Chemotherapy and Pharmacology.

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.

Explore authors with similar magnitude of impact