D. Peest

2.0k citations
42 papers · 925 indexed · h-index 17

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Erythropoietin and Anemia Treatment
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 28
    • Chronic Lymphocytic Leukemia Research 4

D. Peest

41 papers receiving 852 citations

Peers

D. Peest
Comparison fields: 5 of 75
  • Hematology 585
  • Genetics 180
  • Immunology 270
  • Oncology 319
  • Endocrinology 38
Replace Phillip Periman with:
Phillip Periman United States
P Resnitzky Israel
RH van Oers Netherlands
Bhavisha A. Patel United States
Akira Tomonari Japan
M Röper United States
Tomas Ahlgren Sweden
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Kazuyuki Yamaguchi Japan
Olle Zettervall Sweden
D. Peest relative to Phillip Periman United States Phillip Periman's profile →
Citations per field
00.5×5.4×
Phillip Periman · 1×
Citations per year

Countries citing papers authored by D. Peest

Since Specialization
Citations

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

Fields of papers citing papers by D. Peest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996146
2 199292
3 198279
4 199968
5 198254
6 200538
7 200838
8 199533
9 199132
10 198831
11 198030
12 198230
13 198828
14 198523
15 199521
16 200621
17 198416
18 199615
19 199613
20 201312

About D. Peest

D. Peest is a scholar working on Hematology, Genetics, Oncology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 42 papers that have together received 925 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (28 papers), Cancer Treatment and Pharmacology (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Protein Degradation and Inhibitors (5 papers), Immunotherapy and Immune Responses (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Hematology (585 citations), Genetics (180 citations), Immunology (270 citations), Oncology (319 citations) and Endocrinology (38 citations). D. Peest has collaborated with scholars based in Germany, Sweden and France. Frequent co-authors include H. Deicher, D Pettersson, I. Schedel, Arnold Ganser, Anders Österborg, G. Holm, Hákan Mellstedt, Gerald Jäger, MA Boogaerts and Jerzy Hołowiecki. Their work appears in journals such as British Journal of Haematology, Scandinavian Journal of Immunology, Blood, Annals of Hematology and European Journal Of Haematology.

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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