HP Kiem

629 citations
23 papers · 495 · h-index 13

Impact in

  • Genetics top 10%
    • Virus-based gene therapy research
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Virus-based gene therapy research 16
    • Animal Genetics and Reproduction 3
    • RNA Interference and Gene Delivery 6
    • CRISPR and Genetic Engineering 3

HP Kiem

23 papers receiving 475 citations

Peers

HP Kiem
Comparison fields: 5 of 49
  • Genetics 294
  • Hematology 98
  • Virology 27
  • Genetics 49
  • Oncology 109
Replace T Moritz with:
T Moritz United States
DA Williams United States
RC Moen United States
Z. Zu United States
E Smogorzewska United States
Nikoletta Psatha United States
Ulla Bergholz Germany
M Nimgaonkar United States
J S Lipsick United States
Cosette Rebouissou France
HP Kiem relative to T Moritz United States T Moritz's profile →
Citations per field
00.5×10×
T Moritz · 1×
Citations per year

Countries citing papers authored by HP Kiem

Since Specialization
Citations

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

Fields of papers citing papers by HP Kiem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199498
2 199463
3 199154
4 201044
5 199636
6 199531
7 199930
8 200523
9 201016
10 201215
11 199715
12 200814
13 201713
14 201512
15 20108
16 19946
17 20154
18 19954
19 19913
20 19942

About HP Kiem

HP Kiem is a scholar working on Genetics, Molecular Biology, Oncology, Hematology and Infectious Diseases, having authored 23 papers that have together received 495 indexed citations. Recurring topics across this work include Virus-based gene therapy research (16 papers), RNA Interference and Gene Delivery (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Polyomavirus and related diseases (4 papers), Xenotransplantation and immune response (3 papers), Animal Genetics and Reproduction (3 papers), CRISPR and Genetic Engineering (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Genetics (294 citations), Hematology (98 citations), Virology (27 citations), Genetics (49 citations) and Oncology (109 citations). HP Kiem has collaborated with scholars based in United States, South Africa and Brazil. Frequent co-authors include Sondra Goehle, G D Trobridge, Christof von Kalle, Rainer Storb, FG Schuening, Beverly Torok‐Storb, S Heimfeld, ML Cleary, RS Negrin and A. Dusty Miller. Their work appears in journals such as Blood, Gene Therapy, Bone Marrow Transplantation, Cancer Gene Therapy and Molecular Therapy.

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