Dan Ran
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
- Analytical Chemistry top 2%
- Analytical chemistry methods development
Papers in
-
- Analytical chemistry methods development 5
-
- Acute Myeloid Leukemia Research 5
- Hematopoietic Stem Cell Transplantation 5
- Co-authors
- Yuzhi Wang (5 shared papers)Anthony Dick Ho (7 shared papers)Patrick Wuchter (6 shared papers)Thomas M. Bruckner (3 shared papers)Xiaoping Jia (2 shared papers)Shan Lin Yang (3 shared papers)Min Zhang (2 shared papers)Hartmut Goldschmidt (2 shared papers)
- Journals
- Blood (5 papers)Experimental Hematology (3 papers)The Analyst (2 papers)Analytical Methods (2 papers)Journal of Chromatography A (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Dan Ran
22 papers receiving 910 citations
Peers
Comparison fields: 5 of 100
- Hematology 313
- Analytical Chemistry 216
- Toxicology 19
- Electrochemistry 32
- Surfaces, Coatings and Films 35
Countries citing papers authored by Dan Ran
This map shows the geographic impact of Dan Ran'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 Dan Ran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ran more than expected).
Fields of papers citing papers by Dan Ran
This network shows the impact of papers produced by Dan Ran. 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 Dan Ran. The network helps show where Dan Ran may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Ran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 218 | |
| 2 | 2012 | 169 | |
| 3 | 2013 | 106 | |
| 4 | 2009 | 86 | |
| 5 | 2012 | 60 | |
| 6 | 2017 | 42 | |
| 7 | 2014 | 35 | |
| 8 | 2011 | 32 | |
| 9 | 2012 | 32 | |
| 10 | 2013 | 29 | |
| 11 | 2010 | 20 | |
| 12 | 2013 | 20 | |
| 13 | 2016 | 19 | |
| 14 | 2016 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2013 | 10 | |
| 17 | 2009 | 8 | |
| 18 | 2012 | 3 | |
| 19 | 2011 | 3 | |
| 20 | 2013 | 1 |
About Dan Ran
Dan Ran is a scholar working on Analytical Chemistry, Hematology, Spectroscopy, Surfaces, Coatings and Films and Food Science, having authored 23 papers that have together received 917 indexed citations. Recurring topics across this work include Analytical chemistry methods development (5 papers), Acute Myeloid Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (5 papers), Analytical Chemistry and Chromatography (3 papers), CRISPR and Genetic Engineering (2 papers), Pluripotent Stem Cells Research (2 papers), Radar Systems and Signal Processing (2 papers) and Polymer Surface Interaction Studies (2 papers). The work is most often cited by research in Hematology (313 citations), Analytical Chemistry (216 citations), Toxicology (19 citations), Electrochemistry (32 citations) and Surfaces, Coatings and Films (35 citations). Dan Ran has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Yuzhi Wang, Anthony Dick Ho, Patrick Wuchter, Thomas M. Bruckner, Xiaoping Jia, Shan Lin Yang, Min Zhang, Hartmut Goldschmidt, Thomas Schmitt and Mathias Witzens‐Harig. Their work appears in journals such as Blood, Experimental Hematology, The Analyst, Analytical Methods and Journal of Chromatography A.
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.