Lei Ding

8.4k citations
89 papers · 5.9k indexed · 3 hit papers · h-index 31

Lei Ding

84 papers receiving 5.8k citations

Hit Papers

SLAM Family Markers Resolve Functionally Distinct Subpopu...44620122026201620214008001.2k

Peers

Lei Ding
Comparison fields: 5 of 122
  • Hematology 2.6k
  • Genetics 1.3k
  • Immunology 1.9k
  • Developmental Neuroscience 199
  • Cancer Research 551
Replace Órit Kollet with:
Órit Kollet Israel
Leslie E. Silberstein United States
Cécile V. Denis France
Edward F. Srour United States
Ivan Bertoncello Australia
Mikael Sigvardsson Sweden
Giao Hangoc United States
Robert Sackstein United States
Amnon Peled Israel
Shigetaka Asano Japan
Lei Ding relative to Órit Kollet Israel Órit Kollet's profile →
Citations per field
00.5×3.2×
Órit Kollet · 1×
Citations per year

Countries citing papers authored by Lei Ding

Since Specialization
Citations

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

Fields of papers citing papers by Lei Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lei Ding. 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 Lei Ding. The network helps show where Lei Ding may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 20247
4 20246
5 20247
6 202326
7 202221
8 202150
9 20204
10 201890
11 201829
12
The value of multi-slice spiral CT portography combined with functional magnetic resonance imaging observation of brain activity on the degree of liver cirrhosis and the prediction of hepatic encephalopathy risk
20170
13 201732
14 20176
15 2016283
16
Haematopoietic stem cells and early lymphoid progenitors occupy distinct bone marrow nichesbreakdown →
2013935
17 201326
18 201125
19 2006144
20 20049

About Lei Ding

Lei Ding is a scholar working on Hematology, Developmental Neuroscience and Genetics, having authored 89 papers that have together received 5.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (17 papers), Acute Myeloid Leukemia Research (6 papers), Mesenchymal stem cell research (6 papers), T-cell and B-cell Immunology (5 papers), Immunotherapy and Immune Responses (5 papers), RNA Interference and Gene Delivery (4 papers), Platelet Disorders and Treatments (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (2.6k citations), Genetics (1.3k citations) and Immunology (1.9k citations). Lei Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Sean J. Morrison, Grigori Enikolopov, Thomas L. Saunders, Hideyuki Oguro, Juliana Leslie, Matthew Decker, Bo Zhou, Yeojin Lee, Joji Fujisaki and Qingxue Liu. Their work appears in journals such as Scientific Reports, Cell stem cell, eLife, Nature Communications and Cancers.

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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