Neha Shah

2.0k citations
43 papers · 1.3k indexed · 1 hit paper · h-index 16
Topics
Chronic Lymphocytic Leukemia Research (19 papers)Chronic Myeloid Leukemia Treatments (16 papers)Eosinophilic Disorders and Syndromes (9 papers)

In The Last Decade

Neha Shah

43 papers receiving 1.3k citations

Hit Papers

The effects of remote work on collaboration among informa...20212026202220242021100200300

Peers

Neha Shah
Comparison fields: 5 of 120
  • Hematology 350
  • Sociology and Political Science 330
  • Genetics 320
  • Rheumatology 252
  • Organizational Behavior and Human Resource Management 223
Replace John Murphy with:
John Murphy United States
Edward B. Smith United States
Ghulam Warsi United States
Tim Hughes United Kingdom
Claudia M. Hillenbrand United States
Yoram Neumann Israel
Arthur M. Cohen United States
Magnus Carlsson Sweden
Chen‐Ju Lin Taiwan
Andrew G. Miner United States
Neha Shah relative to John Murphy United States John Murphy's profile →
Citations per field
00.5×4.5×
John Murphy · 1×
Citations per year

Countries citing papers authored by Neha Shah

Since Specialization
Citations

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

Fields of papers citing papers by Neha Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Shah. A scholar is included among the top collaborators of Neha Shah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neha Shah. Neha Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 10
3 6
4 9
5 11
6
The effects of remote work on collaboration among information workersbreakdown →
357
7 2
8 7
9 35
10 2
11 4
12 6
13 5
14 27
15 84
16 9
17 2
18 180
19 73
20 16

About Neha Shah

Neha Shah is a scholar working on Genetics, Hematology and Rheumatology, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (19 papers), Chronic Myeloid Leukemia Treatments (16 papers) and Eosinophilic Disorders and Syndromes (9 papers). The work is most often cited by research in Hematology (350 citations), Genetics (320 citations) and Organizational Behavior and Human Resource Management (223 citations). Neha Shah has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Corinne Bendersky, Barbara Lawrence, Jeffrey Weston, Longqi Yang, Siddharth Suri, Brent Hecht, David Holtz, Sonia Jaffe, Kevin Sherman and Jaime Teevan. Their work appears in journals such as Journal of Clinical Oncology, Blood and Academy of Management Journal.

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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