Annika Scheffold

1.2k citations
35 papers · 967 · h-index 19

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Aging top 10%

Papers in

    • Chronic Lymphocytic Leukemia Research 14
    • Acute Myeloid Leukemia Research 2
    • Multiple Myeloma Research and Treatments 2

Annika Scheffold

34 papers receiving 954 citations

Peers

Annika Scheffold
Comparison fields: 5 of 61
  • Genetics 175
  • Aging 22
  • Physiology 227
  • Neurology 115
  • Hepatology 47
Replace Joon‐Khim Loh with:
Joon‐Khim Loh Taiwan
Donna Nichol United States
Chris Siebel New Zealand
Huiming Xu China
Minako Nakazawa Japan
Zhi Jiang China
Jane R. Noble Australia
Holger Weishaupt Sweden
Rafael Sánchez‐Sánchez Spain
Annika Scheffold relative to Joon‐Khim Loh Taiwan Joon‐Khim Loh's profile →
Citations per field
00.5×2×4×6×7.3×
Joon‐Khim Loh · 1×
Citations per year

Countries citing papers authored by Annika Scheffold

Since Specialization
Citations

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

Fields of papers citing papers by Annika Scheffold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011138
2 2014117
3 201185
4 201953
5 201851
6 201646
7 201845
8 201243
9 201942
10 201631
11 201929
12 201828
13 201625
14 201925
15 201824
16 202122
17 201621
18 201921
19 202021
20 201219

About Annika Scheffold

Annika Scheffold is a scholar working on Genetics, Hematology, Neurology, Physiology and Statistics and Probability, having authored 35 papers that have together received 967 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (14 papers), Telomeres, Telomerase, and Senescence (5 papers), Cell death mechanisms and regulation (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Acute Myeloid Leukemia Research (2 papers), Multiple Myeloma Research and Treatments (2 papers), Statistical Methods in Clinical Trials (2 papers) and Acute Lymphoblastic Leukemia research (2 papers). The work is most often cited by research in Genetics (175 citations), Aging (22 citations), Physiology (227 citations), Neurology (115 citations) and Hepatology (47 citations). Annika Scheffold has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Stephan Stilgenbauer, K. Lenhard Rudolph, Billy Michael Chelliah Jebaraj, Dietmar Rudolf Thal, Birgit Liss, André Lechel, Knut P. H. Biber, Yvonne Begus‐Nahrmann, Jochen Hans Weishaupt and Albert Christian Ludolph. Their work appears in journals such as Blood, Leukemia, Journal of Clinical Investigation, Aging and British 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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